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v2_200 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Cai Lun (Chinese: 蔡伦; courtesy name: Jingzhong (敬仲); c. 50–62 – 121 CE), formerly romanized as Ts'ai Lun, was a Chinese eunuch court official of the Eastern Han dynasty. He is traditionally regarded as the inventor of paper and the modern papermaking process. Although early forms of paper had existed since the 3rd century BCE, he occupies a pivotal place in the history of paper due to his addition of pulp via tree bark and hemp ends which resulted in the large-scale manufacture and worldwide spread of paper. | [
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v2_201 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Christopher Columbus (between 25 August and 31 October 1451 – 20 May 1506) was an Italian explorer and navigator from the Republic of Genoa who completed four Spanish-based voyages across the Atlantic Ocean sponsored by the Catholic Monarchs, opening the way for the widespread European exploration and European colonization of the Americas. His expeditions were the first known European contact with the Caribbean and Central and South America. | [
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v2_202 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Albert Einstein (14 March 1879 – 18 April 1955) was a German-born theoretical physicist. Best known for developing the theory of relativity, he also made important contributions to the development of the theory of quantum mechanics, and thus to modern physics. His mass–energy equivalence formula E = mc2, which arises from relativity theory, has been dubbed "the world's most famous equation". His work is also known for its influence on the philosophy of science. He received the 1921 Nobel Prize in Physics "for his services to theoretical physics, and especially for his discovery of the law of the photoelectric effect", a pivotal step in the development of quantum theory. Einsteinium, one of the synthetic elements in the periodic table, was named in his honor. | [
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v2_203 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Louis Pasteur ForMemRS (27 December 1822 – 28 September 1895) was a French chemist and microbiologist renowned for his discoveries of the principles of vaccination, microbial fermentation, and pasteurization, the last of which was named after him. His research in chemistry led to remarkable breakthroughs in the understanding of the causes and preventions of diseases, which laid down the foundations of hygiene, public health and much of modern medicine. Pasteur's works are credited with saving millions of lives through the developments of vaccines for rabies and anthrax. He is regarded as one of the founders of modern bacteriology and has been honored as the "father of bacteriology" and the "father of microbiology" (together with Robert Koch; the latter epithet also attributed to Antonie van Leeuwenhoek). | [
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v2_204 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Galileo di Vincenzo Bonaiuti de' Galilei (15 February 1564 – 8 January 1642) was an Italian astronomer, physicist and engineer, sometimes described as a polymath. Commonly referred to as Galileo, his name is pronounced /ˌɡælɪˈleɪ.oʊ ˌɡælɪˈleɪ.iˌ/ (GAL-ih-LAY-oh GAL-ih-LAY-ee, Italian: [ɡaliˈlɛːo ɡaliˈlɛi]). He was born in the city of Pisa, then part of the Duchy of Florence. Galileo has been called the father of observational astronomy, modern-era classical physics, the scientific method, and modern science. | [
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v2_205 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Joshua Abraham Norton (February 4, 1818 – January 8, 1880), known as Emperor Norton, was a resident of San Francisco, California, who in 1859 proclaimed himself "Norton I., Emperor of the United States". In 1863, after Napoleon III invaded Mexico, he took the secondary title of "Protector of Mexico". | [
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v2_206 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Lionel Andrés Messi (Spanish pronunciation: [ljoˈnel anˈdɾes ˈmesi] (listen); born 24 June 1987), also known as Leo Messi, is an Argentine professional footballer who plays as a forward for Ligue 1 club Paris Saint-Germain and captains the Argentina national team. Widely regarded as one of the greatest players of all time, Messi has won a record seven Ballon d'Or awards and a record six European Golden Shoes, and in 2020 he was named to the Ballon d'Or Dream Team. Until leaving the club in 2021, he had spent his entire professional career with Barcelona, where he won a club-record 34 trophies, including ten La Liga titles, seven Copa del Rey titles and the UEFA Champions League four times. With his country, he won the 2021 Copa América and the 2022 FIFA World Cup. A prolific goalscorer and creative playmaker, Messi holds the records for most goals in La Liga (474), most hat-tricks in La Liga (36) and the UEFA Champions League (eight), and most assists in La Liga (192) and the Copa América (17). He also has the most international goals by a South American male (102). Messi has scored over 800 senior career goals for club and country, and has the most goals by a player for a single club (672). | [
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v2_207 | Can you give a short introduction to this person?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Alan Mathison Turing OBE FRS (/ˈtjʊərɪŋ/; 23 June 1912 – 7 June 1954) was an English mathematician, computer scientist, logician, cryptanalyst, philosopher, and theoretical biologist. Turing was highly influential in the development of theoretical computer science, providing a formalisation of the concepts of algorithm and computation with the Turing machine, which can be considered a model of a general-purpose computer. He is widely considered to be the father of theoretical computer science and artificial intelligence. | [
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v2_208 | The graph below shows the long-term international migration, UK, 1999-2008.
Summarize the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The chart gives information about UK immigration, emigration and net migration between 1999 and 2008.
Both immigration and emigration rates rose over the period shown, but the figures for immigration were significantly higher. Net migration peaked in 2004 and 2007.
In 1999, over 450,000 people came to live in the UK, while the number of people who emigrated stood at just under 300,000. The figure for net migration was around 160,000, and it remained at a similar level until 2003. From 1999 to 2004, the immigration rate rose by nearly 150,000 people, but there was a much smaller rise in emigration. Net migration peaked at almost 250,000 people in 2004.
After 2004, the rate of immigration remained high, but the number of people emigrating fluctuated. Emigration fell suddenly in 2007, before peaking at about 420,000 people in 2008. As a result, the net migration figure rose to around 240,000 in 2007, but fell back to around 160,000 in 2008. | [
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v2_209 | The graph and table below give information about water use worldwide and water consumption in two different countries.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The charts compare the amount of water used for agriculture, industry and homes around the world, and water use in Brazil and the Democratic Republic of Congo.
It is clear that global water needs rose significantly between 1900 and 2000, and that agriculture accounted for the largest proportion of water used. We can also see that water consumption was considerably higher in Brazil than in the Congo.
In 1900, around 500km³ of water was used by the agriculture sector worldwide. The figures for industrial and domestic water consumption stood at around one fifth of that amount. By 2000, global water use for agriculture had increased to around 3000km³, industrial water use had risen to just under half that amount, and domestic consumption had reached approximately 500km³.
In the year 2000, the populations of Brazil and the Congo were 176 million and 5.2 million respectively. Water consumption per person in Brazil, at 359m³, was much higher than that in the Congo, at only 8m³, and this could be explained by the fact that Brazil had 265 times more irrigated land. | [
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v2_210 | The charts below give information about USA marriage and divorce rates between 1970 and 2000, and the marital status of adult Americans in two of the years.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The first bar chart shows changes in the number of marriages and divorces in the USA, and the second chart shows figures for the marital status of American adults in 1970 and 2000.
It is clear that there was a fall in the number of marriages in the USA between 1970 and 2000. The majority of adult Americans were married in both years, but the proportion of single adults was higher in 2000.
In 1970, there were 2.5 million marriages in the USA and 1 million divorces. The marriage rate remained stable in 1980, but fell to 2 million by the year 2000. In contrast, the divorce rate peaked in 1980, at nearly 1.5 million divorces, before falling back to 1 million at the end
of the period.
Around 70% of American adults were married in 1970, but this figure dropped to just under 60% by 2000. At the same time, the proportion of unmarried people and divorcees rose by about 10% in total. The proportion of widowed Americans was slightly lower in 2000. | [
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v2_211 | The chart below shows the amount spent on six consumer goods in four European countries.
Write a report for a university lecturer describing the information shown below.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The bar chart compares consumer spending on six different items in Germany, Italy, France and Britain.
It is clear that British people spent significantly more money than people in the other three countries on all six goods. Of the six items, consumers spent the most money on photographic film.
People in Britain spent just over £170,000 on photographic film, which is the highest figure shown on the chart. By contrast, Germans were the lowest overall spenders, with roughly the same figures (just under £150,000) for each of the six products.
The figures for spending on toys were the same in both France and Italy, at nearly £160,000. However, while French people spent more than Italians on photographic film and CDs, Italians paid out more for personal stereos, tennis racquets and perfumes. The amount spent by French people on tennis racquets, around £145,000, is the lowest figure shown on the chart. | [
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v2_212 | The table below gives information about the underground railway systems in six cities.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The table shows data about the underground rail networks in six major cities.
The table compares the six networks in terms of their age, size and the number of people who use them each year. It is clear that the three oldest underground systems are larger and serve significantly more passengers than the newer systems.
The London underground is the oldest system, having opened in 1863. It is also the largest system, with 394 kilometres of route. The second largest system, in Paris, is only about half the size of the London underground, with 199 kilometres of route. However, it serves more people per year. While only third in terms of size, the Tokyo system is easily the most used, with 1927 million passengers per year.
Of the three newer networks, the Washington DC underground is the most extensive, with 126 kilometres of route, compared to only 11 kilometres and 28 kilometres for the Kyoto and Los Angeles systems. The Los Angeles network is the newest, having opened in 2001, while the Kyoto network is the smallest and serves only 45 million passengers per year. | [
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v2_213 | The table below gives information on consumer spending on different items in five different countries in 2002.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The table shows percentages of consumer expenditure for three categories of products and services in five countries in 2002.
It is clear that the largest proportion of consumer spending in each country went on food, drinks and tobacco. On the other hand, the leisure/education category has the lowest percentages in the table.
Out of the five countries, consumer spending on food, drinks and tobacco was noticeably higher in Turkey, at 32.14%, and Ireland, at nearly 29%. The proportion of spending on leisure and education was also highest in Turkey, at 4.35%, while expenditure on clothing and footwear was significantly higher in Italy, at 9%, than in any of the other countries.
It can be seen that Sweden had the lowest percentages of national consumer expenditure for food/drinks/tobacco and for clothing/footwear, at nearly 16% and just over 5% respectively. Spain had slightly higher figures for these categories, but the lowest figure for leisure/education, at only 1.98%. | [
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v2_214 | The pie charts below show units of electricity production by fuel source in Australia and France in 1980 and 2000.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The pie charts compare the amount of electricity produced using five different sources of fuel in two countries over two separate years.
Total electricity production increased dramatically from 1980 to 2000 in both Australia and France. While the totals for both countries were similar, there were big differences in the fuel sources used.
Coal was used to produce 50 of the total 100 units of electricity in Australia in 1980, rising to 130 out of 170 units in 2000. By contrast, nuclear power became the most important fuel source in France in 2000, producing almost 75% of the country’s electricity.
Australia depended on hydro power for just under 25% of its electricity in both years, but the amount of electricity produced using this type of power fell from 5 to only 2 units in France. Oil, on the other hand, remained a relatively important fuel source in France, but its use declined in Australia. Both countries relied on natural gas for electricity production significantly more in 1980 than in 2000. | [
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v2_215 | Chorleywood is a village near London whose population has increased steadily since the middle of the nineteenth century. The map below shows the development of the village.
Write a report for a university lecturer describing the development of the village.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The map shows the growth of a village called Chorleywood between 1868 and 1994.
It is clear that the village grew as the transport infrastructure was improved. Four periods of development are shown on the map, and each of the populated areas is near to the main roads, the railway or the motorway.
From 1868 to 1883, Chorleywood covered a small area next to one of the main roads. Chorleywood Park and Golf Course is now located next to this original village area. The village grew along the main road to the south between 1883 and 1922, and in 1909 a railway line was built crossing this area from west to east. Chorleywood station is in this part of the village.
The expansion of Chorleywood continued to the east and west alongside the railway line until 1970. At that time, a motorway was built to the east of the village, and from 1970 to 1994, further development of the village took place around motorway intersections with the railway and one of the main roads. | [
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v2_216 | The map below is of the town of Garlsdon. A new supermarket (S) is planned for the town. The map shows two possible sites for the supermarket.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The map shows two potential locations (S1 and S2) for a new supermarket in a town called Garlsdon.
The main difference between the two sites is that S1 is outside the town, whereas S2 is in the town centre. The sites can also be compared in terms of access by road or rail, and their positions relative to three smaller towns.
Looking at the information in more detail, S1 is in the countryside to the north west of Garlsdon, but it is close to the residential area of the town. S2 is also close to the housing area, which surrounds the town centre.
There are main roads from Hindon, Bransdon and Cransdon to Garlsdon town centre, but this is a no traffic zone, so there would be no access to S2 by car. By contrast, S1 lies on the main road to Hindon, but it would be more difficult to reach from Bransdon and Cransdon. Both supermarket sites are close to the railway that runs through Garlsdon from Hindon to Cransdon. | [
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v2_217 | The diagram below shows how the Australian Bureau of Meteorology collects up-to-the-minute information on the weather in order to produce reliable forecasts.
Write a report for a university lecturer describing the information shown below.
You should write at least 150 words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The figure illustrates the process used by the Australian Bureau of Meteorology to forecast the weather.
There are four stages in the process, beginning with the collection of information about the weather. This information is then analysed, prepared for presentation, and finally broadcast to the public.
Looking at the first and second stages of the process, there are three ways of collecting weather data and three ways of analysing it. Firstly, incoming information can be received by satellite and presented for analysis as a satellite photo. The same data can also be passed to a radar station and presented on a radar screen or synoptic chart. Secondly, incoming information may be collected directly by radar and analysed on a radar screen or synoptic chart. Finally, drifting buoys also receive data which can be shown on a synoptic chart.
At the third stage of the process, the weather broadcast is prepared on computers. Finally, it is delivered to the public on television, on the radio, or as a recorded telephone announcement. | [
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v2_218 | How much did I pay for tax?
Where is the information?<IMG><image_0><IMG><image_1><IMG><image_2> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | In the first receipt, you paid $3.72 for tax. The information is located at the bottom of the receipt. In the second receipt, you paid $42.23 for tax. The information is located near the bottom of the receipt, under the line of "Sales Tax". In the third receipt, you paid $4.58 for tax. The information is located at the bottom of the receipt, under the line of "TAX". Overall, you paid $50.53 in tax across all three receipts. | [
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v2_219 | How much should I pay for the beer on the table according to the price on the menu?<IMG><image_0><IMG>Here is a photo of the menu.<IMG><image_1> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 12 | [
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v2_220 | Describe the image with a sentence consisting of three words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Seaside dining table | [
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v2_221 | Describe the image with a sentence consisting of six words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Dining table overlooking ocean with beer | [
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v2_222 | Describe the image with a sentence consisting of nine words.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Outdoor restaurant table with ocean view and a beer | [
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v2_223 | Write a sentence for the image consisting only of words starting with the letter 'B'.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Beachside bar boasts beautiful blue backdrop. | [
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v2_224 | Write a sentence for the image consisting only of words starting with the letter 'D'.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Dining deck displays delightful drinks, distant docks. | [
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v2_225 | Write a sentence for the image consisting only of words starting with the letter 'T'.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Tabletop terrace teeming with tropical tranquility. | [
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v2_226 | What would the missing image look like?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | star with a dot | [
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v2_227 | Here are three sub images arranged in a 2-by-2 matrix. First, look at the two images in the first column, in the top left and bottom left. Then, find out the pattern in the first column based on the left two images. Next, use the found pattern and the image in the top right to infer the missing figure. Finally, describe what would the missing image look like?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | star with a dot | [
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v2_228 | Please read the text in this image and return the information in the following JSON format (note xxx is placeholder, if the information is not available in the image, put "N/A" instead).
{"class": xxx, "DLN": xxx, "DOB": xxx, "Name": xxx, "Address": xxx, "EXP": xxx, "ISS": xxx, "SEX": xxx, "HGT": xxx, "WGT": xxx, "EYES": xxx, "HAIR": xxx, "DONOR": xxx}<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | {"class": "D", "DLN": "D08954796", "DOB": "01/01/1974", "Name": "Jelani Sample", "Address": "123 Main St, Phoenix, AZ 85007", "EXP": "03/01/2024", "ISS": "03/01/2016", "SEX": "M", "HGT": "5-09", "WGT": "185 lbs", "EYES": "BRO", "HAIR": "BRO", "DONOR": "Y"} | [
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v2_229 | Please read the text in this image and return the information in the following JSON format (note xxx is placeholder, if the information is not available in the image, put "N/A" instead).
{"class": xxx, "DLN": xxx, "DOB": xxx, "Name": xxx, "Address": xxx, "EXP": xxx, "ISS": xxx, "SEX": xxx, "HGT": xxx, "WGT": xxx, "EYES": xxx, "HAIR": xxx, "DONOR": xxx}<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | {"class": "C", "DLN": "I234568", "DOB": "08/31/1977", "Name": "Ima Cardholder", "Address": "2570 24th Street, Anytown, CA 95818", "EXP": "08/31/2014", "ISS": "08/31/2009", "SEX": "F", "HGT": "5-05", "WGT": "125 lbs", "EYES": "BRN", "HAIR": "BRN", "DONOR": "Y"} | [
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v2_230 | Please read the text in this image and return the information in the following JSON format (note xxx is placeholder, if the information is not available in the image, put "N/A" instead).
{"Surname": xxx, "Given Name": xxx, "USCIS #": xxx, "Category": xxx, "Country of Birth": xxx, "Date of Birth": xxx, "SEX": xxx, "Card Expires": xxx, "Resident Since": xxx}<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | {"Surname": "STEVENS", "Given Name": "ICHIKA", "USCIS #": "000-000-000", "Category": "IR1", "Country of Birth": "Japan", "Date of Birth": "18 AUG 1988", "SEX": "F", "Card Expires": "07/04/2027", "Resident Since": "07/05/2017"} | [
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v2_231 | Count the number of apples in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 11 | [
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v2_232 | Describe the pointed region in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | hanging light | [
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v2_233 | Describe the pointed region in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The highlighted red region in the image is a table cell that contains a numeric value of 122.3 and is located in the "test set" section of the table, under the column "out" and the row "GIT2" This value represents the overall performance of the GIT2 method on the test set in the category "out". | [
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v2_234 | What is in the circled glass? Object 1 or 2?
Describe what is Object 1 and object 2. Then check what is in the circled glass.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Object 1 is a glass bottle of water. It is clear and has a blue label on it. Object 2 is a glass bottle of Magna beer. It is green and has a red and white label. In the circled glass it appears to be a clear liquid, likely water, so it is likely that the contents of the circled glass are from Object 1, the glass bottle of water. | [
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v2_235 | Answer the question in the following figure. Provide intermediate steps.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | To find the length of the blue arrowed edge, we can use the Pythagorean theorem since we have a right triangle. According to the theorem stating that a² + b² = c², where a and b are the two legs of the right triangle and c is the hypotenuse, we can plug in the values we have, and get:
4² + 8² = c² 16 + 64 = c² 80 = c² √80 = c 8.94 ≈ c Therefore, the length of the blue arrowed edge is approximately 8.94.
To find the angle at the green arrow, we can use the tangent function since we have the opposite and adjacent sides of the angle. The tangent function states that tanθ = opposite/adjacent. Plugging in the values we have, we get: tanθ = 4/8 tanθ = 1/2 θ = tan^-1(1/2) θ ≈ 26.57° Therefore, the angle at the green arrow is approximately 26.57°. | [
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v2_236 | Find out the pattern in the first column, and use it to infer the missing figure in the second column.<IMG><image_0><IMG>For example, the circled region in the first left column shows the pattern of adding a line through it. Therefore, the answer is a figure of a diamond<IMG><image_1><IMG>with a line through it, looking like<IMG><image_2><IMG>. Answer the question in the following figure.<IMG><image_3><IMG><image_4> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Option c<OR>Image c | [
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v2_237 | Find out the pattern in the first column, and use it to infer the missing figure in the second column. <IMG><image_0><IMG>For example,<IMG><image_1><IMG>Therefore, adds a line to image 2<IMG><image_2><IMG>will be a diamond with a line through it. 1.<IMG><image_3><IMG>2.<IMG><image_4><IMG>3.<IMG><image_5><IMG>4. Here are three sub images arranged in a 2-by-2 matrix. What is the pattern between image 3 and image 1? What would be the next image to complete the matrix? a.<IMG><image_6><IMG>b.<IMG><image_7><IMG>c.<IMG><image_8><IMG>d.<IMG><image_9><IMG>e.<IMG><image_10><IMG>f.<IMG><image_11> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Option c<OR>Image c | [
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v2_238 | What is the read of the speed meter?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 10 | [
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v2_239 | What is the read of the speed meter? To read this speed meter, observe the needle on the outer edge of the dial which points to your current speed represented in miles per hour. Yellow is the color of the needle.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 10 | [
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v2_240 | What is the read of the speed meter?<IMG><image_0><IMG>The yellow pointer is roughly at the middle between 80 and 100 mph. The middle between 80 and 100 is 90. The speed is around 91 mph, as the pointer is just passing 90 mph.<IMG><image_1> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 10 | [
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v2_241 | What is the read of the speed meter?<IMG><image_0><IMG>The yellow pointer is at the long tick between 20 and 40 mph. The long tick at the middle between 20 and 40 is 30. The speed is around 29 mph, as the pointer is close to 30 mph but not quite 30 yet.<IMG><image_1> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 10 | [
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v2_242 | What is the read of the speed meter?<IMG><image_0><IMG>The yellow pointer is roughly at the middle between 80 and 100 mph. The middle between 80 and 100 is 90. The speed is around 91 mph, as the pointer is just passing 90 mph.<IMG><image_1><IMG>The yellow pointer is at the long tick between 20 and 40 mph. The long tick at the middle between 20 and 40 is 30. The speed is around 29 mph, as the pointer is close to 30 mph but not quite 30 yet.<IMG><image_2> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 10 | [
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v2_243 | In the graph, which year has the highest average gas price for the month of June?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 2022 | [
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v2_244 | Describe the image<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image shows a collage of 8 prominent personalities from various fields. On the top row, from left to right, there is singer Justin Bieber, footballer Lionel Messi, footballer Cristiano Ronaldo, and entrepreneur Elon Musk. On the bottom row, from left to right, there is model and reality TV star Kylie Jenner, singer Taylor Swift, actor Robert Downey Jr., and actor Scarlett Johansson. All individuals are shown in different poses and outfits, with various backgrounds. | [
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v2_245 | Who is the person in the image and what is the person doing?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Joe Biden | [
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v2_246 | Who is the person in the image and what is the person doing?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Jensen Huang | [
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v2_247 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The landmark in this image is the Space Needle, an observation tower in Seattle, Washington, 605 feet tall and offers panoramic views of the city and surrounding areas. The tower was built for the 1962 World's Fair and has since become a symbol of Seattle and a popular tourist attraction. The tower has a futuristic design with a large circular observation deck at the top and a restaurant that rotates 360 degrees. The base of the tower is surrounded by a park with trees and green spaces. | [
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v2_248 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | This image shows the Kinkaku-ji temple in Kyoto, Japan, also known as the Golden Pavilion, a three-story Buddhist temple covered in gold leaf, that sits on a pond, creating a stunning reflection on the water. The surrounding landscape is filled with trees and rocks, creating a serene and peaceful atmosphere. It is a popular tourist attraction and designated National Special Historic Site. | [
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v2_249 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The landmark in the image is the statue of George M. Cohan in Times Square, New York City. It is a bronze statue that stands on a granite pedestal in Duffy Square which is the northern part of Times Square and is a tribute to George M. Cohan, an American entertainer, playwright, composer and producer. The statue was unveiled in 1959 and has since become a popular tourist attraction in Times Square. | [
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v2_250 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The landmark in the image is the famous Lombard Street in San Francisco, California known for its steep hairpin turns, the street is lined with colorful flowers and shrubbery and there are houses and buildings on both sides, in the background you can see the city skyline and the Coit Tower on Telegraph Hill, and it is often considered one of the most crooked streets in the world. | [
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v2_251 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The landmark in the image is Taipei 101 building, in Taipei, Taiwan. This building is rated with a height of 508 meters (1,667 feet) and has 101 floors above ground and 5 floors below ground, and is a popular tourist attraction in Taipei. The design of the building resembles a bamboo plant, symbolizing strength and resilience. | [
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v2_252 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The landmark in the image is the Manhattan Bridge, seen from the DUMBO neighborhood in Brooklyn, New York. The bridge spans the East River and connects Lower Manhattan with Brooklyn. It is a suspension bridge with two large towers and was completed in 1909. In the image, the bridge is framed by two brick buildings, creating a unique view of the landmark. | [
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v2_253 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The landmark in the image is the interior of Trump Tower in New York City. The focal point is the Trump Grill, a restaurant on the lower level of the tower, with red and gold accents, marble walls and columns and a festive holiday display featuring a Christmas tree and poinsettias. The space is opulent and luxurious, typical of the Trump brand. | [
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v2_254 | Describe the landmark in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The landmark in the image is the Fushimi Inari Taisha Shrine in Kyoto, Japan, known for its thousands of vermilion gate gates that line the paths leading up to the shrine, and are donated by individuals and businesses to show their devotion to the inari deity. The gates represent the boundary between the secular world and the sacred world. The image shows a path lined with these gates leading up to the shrine, with stone steps in the center. | [
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v2_255 | Describe the name of the dish.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The dish on the photo is a bowl of Mapo Tofu, a popular Chinese dish from the Sichuan Province consists of soft tofu cubes in a rich and spicy sauce of chili peppers, fermented bean paste and Sichuan peppercorns garnished with thin slices of green onions. | [
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v2_256 | Describe the name of the dish.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Unagi Donburi is the name of the dish that originates from Japan and is typically a type of rice bowl dish eaten in a deep bowl. The word means freshwater eel in Japanese and refers to a large bowl with rice and other toppings. Unagi Donburi is a dish made with grilled eel and a type of sweet and savory sauce called “unagi sauce” served over white rice. | [
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v2_257 | Describe the name of the dish.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | This dish is called a Cajun Sampler, which consists of four small bowls of traditional Cajun dishes -- gumbo, jambalaya, red beans and rice and crawfish étouffée. The bowls are served with a side of sliced bread for dipping. Each bowl is filled with white rice and topped with green onions. It is a popular dish in Louisiana and a great way to try a variety of Cajun flavors. | [
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v2_258 | Describe the name of the dish.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | This dish is called Braised Short Rib with Chimichurri and features a succulent short rib that has been slow cooked until tender and topped with a flavorful chimichurri sauce. It is served with roasted vegetables for a complete meal. | [
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v2_259 | Describe the image<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image is a black and white X-ray of a human skull viewed from the front with the top and bottom of the skull clearly visible; the teeth and jaw bones are also visible but not as clear; the nasal cavity and eye sockets are also visible with an “L” on the bottom right corner, indicating that it is the left side of the skull. | [
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v2_260 | Are there wisdom teeth that needs to be removed in this x-ray image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Yes | [
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v2_261 | Which wisdom tooth is hardest to remove?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | lower and impacted wisdom teeth | [
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v2_262 | What’s wrong?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | There appears to be a fracture or break in the fifth metatarsal bone (the bone on the outside of the foot that connects with the pinky toe) ; this is commonly known as the "Jonges Fracture ". | [
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v2_263 | Look at the CT scan of lung in the image below, tell me what's wrong.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | There appears to be multiple areas of consolidation and ground-glass opacities in both lungs, which could indicate lung infection or inflammation and there is a possible mass or nodule in the right upper lobe. Further evaluation and clinical correlation is needed to determine the exact diagnosis. | [
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v2_264 | Describe the image<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image is composed of three different icons arranged horizontally with a thin vertical line separating each icon : On the left is an icon that looks like the letter O with a blue horizontal line running through the middle ; on the right is an icon composed of two overlapping triangles with points that point upwards ; on the right is an icon of a shield-like shape with three arrows pointing upwards ; this is the logo of the automobile brand Maserati. | [
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v2_265 | Describe the logos in details<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The Leftmost is BMW’s logo. It is a circle icon filled with black color. Inside the circle, there is a blue horizontal line running through the middle. The area above the blue line is white and the area below the blue line is light blue. This logo represents a spinning propeller of an airplane, which is a nod to the company’s history in aviation.
The middle one is the Infiniti logo. It is composed of two overlapping triangles, with the points facing upward. The triangles are filled in with black color. The logo represents a mountain or a road, which is a nod to the company’s ethos of power, strength, and performance.
The rightmost one is the Maserati logo, which is composed of a shield-like shape and has three red arrows pointing upward. The shield shape is filled in with a faint white color, and the area between the arrows is black. This logo is a nod to the company’s history in racing, with the arrows representing the company’s victories. | [
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v2_266 | Describe both the image and logo in details<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image is of a McDonald’s french fry container, filled with golden brown french fries. The red container has the iconic McDonald’s “M” logo on it. The bright yellow background makes the red container and fries stand out.
The logo is the McDonald’s “M” which is a large golden arch, forming the letter “M” for McDonald’s. It is one of the most recognized logos in the world and is often associated with the fast food chain. | [
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v2_267 | Describe both the image and logo in details<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image shows two Starbucks cups. One is a clear plastic cup with a lid and straw, and the other is a white paper cup with a lid. The clear plastic cup contains a cold drink with ice and whipped cream on top, while the white paper cup contains a hot drink. The cups are placed on a wooden table with a blurred background of a Starbucks store.
The logo on the cups is the Starbucks logo, a green circle with a white mermaid or siren in the center. | [
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v2_268 | Describe both the image and logo in details<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image shows a woman in traditional Japanese clothing standing in front of the Olympic rings logo, wearing a purple kimono with a floral pattern and a red Obi belt, smiling and posing for the photo. The symbol is composed of five interlocking rings of different colors: blue, yellow, black, green, and red. The rings are arranged in such a way that they form a flower-like shape. The logo is displayed on a grassy area with trees in the background. | [
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v2_269 | Describe both the image and logo in details<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image shows two wet Coca-Cola bottles lying on a bed of ice cubes, indicating they are chilled and ready to drink. The bottle on the left is a new grip bottle, as mentioned on the label. The bottle on the right is a regular Coca-Cola bottle. Both bottles have the iconic Coca-Cola logo on them.
The logo is written in a cursive font in white color, with a red background. The first "C" in Coca is larger than the rest of the letters, and the "o" in Cola is elongated. The logo is instantly recognizable and is synonymous with the brand. | [
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v2_270 | Describe both the image and logo in details<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image shows a close-up of a person’s foot wearing a white Nike Air Force 1 sneaker. The shoe is a low-top style with a white rubber sole and white laces. The upper of the shoe is made of textured white leather to give it a premium look.
The logo shown on the sneaker is the iconic Nike Swoosh. It is displayed on the side of the shoe in a silver color. The Swoosh is a curved, elongated checkmark shape with a pointed tip at the end. It represents speed and motion, embodying the brand’s athletic and sporty aesthetic. | [
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v2_271 | Describe both the image and logo in details<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image is a screenshot from a presentation about Microsoft 365 Copilot. The image shows a man standing in front of a large screen with the Microsoft 365 Copilot logo and some text on it. The man is wearing a blue sweater and is gesturing with his hands as he speaks. The background is a modern-looking set with a green plant and a gray wall.
The logo for Microsoft 365 Copilot is a square with rounded corners. The background of the logo is white, and the text "Microsoft 365 Copilot" is written in black. The center of the logo is a colorful shape resembling a cube with three sides visible. The colors of the shape are blue, purple, and pink, and the shape is slightly tilted to the right. The logo is simple and modern, with a clean and professional look. | [
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v2_272 | Describe the image<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image is a screenshot of a dashcam taken from inside a car showing the view of the road ahead: The car is driving on a two-lane road with a speed limit sign of 35 mph visible on the right side of the road, trees on both sides of the road and the sky is filled with dark clouds, suggesting that it could soon rain; orange cones are visible on the left side of the road indicating a construction zone; and in the distance there is a bridge overpass. | [
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v2_273 | Describe the image<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image is a view of a road from the perspective of a car dashboard camera. The road has two lanes, and the car is in the right lane behind a silver vehicle. Two yellow signs on the side of the road warn drivers of an upcoming pedestrian crossing and a curve to the left. The sky is cloudy and gray, and trees and bushes line the sides of the road. | [
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v2_274 | Can you find the red ball near the gray cat in the image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | No | [
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v2_275 | Can you see the bright blue feathers on the bird's wing?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | No | [
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v2_276 | Can you spot the pink elephant playing in the corner?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | No | [
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v2_277 | Can you find the baseball player wearing a blue shirt?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | No | [
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v2_278 | Try to locate a large waterfall behind the trees.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | No | [
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v2_279 | Can you find the blue lighting fixture mounted to the ceiling?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | No | [
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v2_280 | Count the number of apples in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 7 | [
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v2_281 | Count the number of apples in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 16 | [
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v2_282 | Count the number of oranges in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 3 | [
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v2_283 | Count the number of people in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 3 | [
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v2_284 | Count the number of people in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 4 | [
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v2_285 | Count the number of people in the image.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 10 | [
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v2_286 | Localize each person in the image using bounding box. The image size is (width, height) = (512,403)<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | There is only one person in the image with the bounding box:
- Top left: (151, 38)
- Bottom right: (309, 403) | [
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v2_287 | Localize each car in the image using bounding box. What is the image size of the input image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image size of the input image is 144 x 144 pixels.
Bounding box for the black car:
- Top left corner: (11, 75)
- Bottom right corner: (49, 101)
Bounding box for the white car:
- Top left corner: (77, 73)
- Bottom right corner: (141, 105) | [
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v2_288 | Localize each person in the image using bounding box. What is the image size of the input image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | The image size of the input image is 512 x 195 pixels.
Bounding boxes for each person:
- Person 1 (leftmost): (x1, y1) = (99, 48), (x2, y2) = (163, 160)
- Person 2: (x1, y1) = (158, 47), (x2, y2) = (217, 153)
- Person 3: (x1, y1) = (289, 40), (x2, y2) = (336, 162)
- Person 4: (x1, y1) = (319, 47), (x2, y2) = (387, 169)
- Person 5 (rightmost): (x1, y1) = (467, 46), (x2, y2) = (512, 152) | [
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v2_289 | Please follow the instructions
1. Tell me the size of the input image;
2. Localize each person in the image using bounding box;
3. Recognize each person;
4. Generate detailed caption for each bounding box.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 1. The size of the input image is 512 x 384 pixels.
2. Bounding box 1: (x1, y1) = (120, 250), (x2, y2) = (420, 950) - Person 1
Bounding box 2: (x1, y1) = (500, 240), (x2, y2) = (800, 940) - Person 2
Bounding box 3: (x1, y1) = (880, 230), (x2, y2) = (1180, 930) - Person 3
Bounding box 4: (x1, y1) = (1260, 220), (x2, y2) = (1560, 920) - Person 4
3. Person 1: Yann LeCun
Person 2: Geoffrey Hinton
Person 3: Yoshua Bengio
Person 4: Andrew Ng
4. Caption for bounding box 1: Yann LeCun, computer scientist and one of the founding fathers of artificial intelligence.
Caption for bounding box 2: Geoffrey Hinton, computer scientist and cognitive psychologist, known for his work on artificial neural networks.
Caption for bounding box 3: Yoshua Bengio, computer scientist and co-founder of the Montreal Institute for Learning Algorithms.
Caption for bounding box 4: Andrew Ng, computer scientist and entrepreneur, known for his work on deep learning and artificial intelligence. | [
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v2_290 | Compare the average kinetic energies of the particles in each sample. The diagrams below show two pure samples of gas in identical closed, rigid containers. Each colored ball represents one gas particle. Both samples have the same number of particles. Which sample has the higher temperature? Sample A or sample B?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | A | [
"rec",
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v2_291 | Which of these states is farthest north?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Delaware | [
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v2_292 | Which of the organisms is the producer in this food web?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | berries and flowers, grasses, and seeds | [
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v2_293 | Suppose you are a teacher, please use the figure to explain the distinction between evaporation and evapotranspiration.<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Okay, class, today we will learn about the distinction between evaporation and evapotranspiration. Let’s take a look at this figure.
First, let’s understand what evaporation is. Evaporation is the process by which water is changed from its liquid state to its gaseous state. This usually occurs at a liquid's surface, like the ocean or a lake, when the water molecules gain enough energy to break away and form water vapor. So in this figure, we can see that the water in the lake and the dam is evaporating and becoming water vapor.
Now, let’s take a look at evapotranspiration. This is a combination of two processes - evaporation and transpiration. Transpiration is the process by which plants release water vapor through their leaves. So, in this figure, we can see that the trees and plants are releasing water vapor into the air, which is the transpiration part of evapotranspiration. At the same time, the water in the soil and the surface is also evaporating. This combination of evaporation and transpiration is what we call evapotranspiration.
In summary, evaporation is the process by which water is changed from its liquid state to its gaseous state, while evapotranspiration is the combination of evaporation and transpiration. Both these processes contribute to the water cycle and are essential for maintaining the balance of water in our environment. | [
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v2_294 | What is [person3] doing?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | carrying a plate of food | [
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v2_295 | What are [person1] and [person2] doing?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | walking down the aisle at a wedding ceremony | [
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v2_296 | Suppose you are a detective, what can you infer from the visual clues in the image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | From the visual clues in the image, I can infer that:
- The room belongs to someone who is likely a young adult or teenager, as evidenced by the casual clothing and the desk with a computer.
- The person is likely a student or works from home, as evidenced by the desk and computer.
- The person is likely fashion-conscious, as evidenced by the multiple jackets and shoes.
- The room is likely in a colder climate, as evidenced by the jackets and boots.
- The person is likely not very tidy, as evidenced by the cluttered desk and the clothes hanging on the door.
- The room is likely located in an older or more rustic building, as evidenced by the exposed pipes and the worn-looking walls. | [
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v2_297 | What are all the scene text in the image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | 3,642,039,031,055 | [
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v2_298 | What are all the scene text in the image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | - (NVDA)
- NVIDIA
- 356.85
- +51.47
- +16.85% | [
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v2_299 | What are all the scene text in the image?<IMG><image_0> | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | Not supported with pagination yet | - "Royal"
- "London" | [
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