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--- |
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license: mit |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': apple_pie |
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'1': baby_back_ribs |
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'2': baklava |
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'3': beef_carpaccio |
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'4': beef_tartare |
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'5': beet_salad |
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'6': beignets |
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'7': bibimbap |
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'8': biryani |
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'9': bread_pudding |
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'10': breakfast_burrito |
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'11': bruschetta |
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'12': caesar_salad |
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'13': cannoli |
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'14': caprese_salad |
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'15': carrot_cake |
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'16': ceviche |
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'17': chai |
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'18': chapati |
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'19': cheese_plate |
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'20': cheesecake |
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'21': chicken_curry |
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'22': chicken_quesadilla |
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'23': chicken_wings |
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'24': chocolate_cake |
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'25': chocolate_mousse |
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'26': chole_bhature |
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'27': churros |
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'28': clam_chowder |
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'29': club_sandwich |
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'30': crab_cakes |
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'31': creme_brulee |
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'32': croque_madame |
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'33': cup_cakes |
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'34': dabeli |
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'35': dal |
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'36': deviled_eggs |
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'37': dhokla |
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'38': donuts |
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'39': dosa |
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'40': dumplings |
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'41': edamame |
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'42': eggs_benedict |
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'43': escargots |
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'44': falafel |
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'45': filet_mignon |
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'46': fish_and_chips |
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'47': foie_gras |
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'48': french_fries |
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'49': french_onion_soup |
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'50': french_toast |
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'51': fried_calamari |
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'52': fried_rice |
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'53': frozen_yogurt |
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'54': garlic_bread |
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'55': gnocchi |
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'56': greek_salad |
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'57': grilled_cheese_sandwich |
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'58': grilled_salmon |
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'59': guacamole |
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'60': gyoza |
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'61': hamburger |
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'62': hot_and_sour_soup |
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'63': hot_dog |
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'64': huevos_rancheros |
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'65': hummus |
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'66': ice_cream |
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'67': idli |
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'68': jalebi |
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'69': kathi_rolls |
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'70': kofta |
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'71': kulfi |
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'72': lasagna |
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'73': lobster_bisque |
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'74': lobster_roll_sandwich |
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'75': macaroni_and_cheese |
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'76': macarons |
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'77': miso_soup |
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'78': momos |
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'79': mussels |
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'80': naan |
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'81': nachos |
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'82': omelette |
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'83': onion_rings |
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'84': oysters |
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'85': pad_thai |
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'86': paella |
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'87': pakoda |
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'88': pancakes |
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'89': pani_puri |
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'90': panna_cotta |
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'91': panner_butter_masala |
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'92': pav_bhaji |
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'93': peking_duck |
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'94': pho |
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'95': pizza |
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'96': pork_chop |
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'97': poutine |
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'98': prime_rib |
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'99': pulled_pork_sandwich |
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'100': ramen |
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'101': ravioli |
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'102': red_velvet_cake |
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'103': risotto |
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'104': samosa |
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'105': sashimi |
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'106': scallops |
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'107': seaweed_salad |
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'108': shrimp_and_grits |
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'109': spaghetti_bolognese |
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'110': spaghetti_carbonara |
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'111': spring_rolls |
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'112': steak |
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'113': strawberry_shortcake |
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'114': sushi |
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'115': tacos |
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'116': takoyaki |
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'117': tiramisu |
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'118': tuna_tartare |
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'119': vadapav |
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'120': waffles |
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splits: |
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- name: train |
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num_bytes: 2004526002.0 |
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num_examples: 96800 |
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- name: test |
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num_bytes: 513682668.4 |
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num_examples: 24200 |
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download_size: 3295817653 |
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dataset_size: 2518208670.4 |
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language: |
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- en |
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tags: |
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- food101 |
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- image classification |
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size_categories: |
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- 100K<n<1M |
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--- |
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## Dataset Details |
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### Dataset Description |
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This dataset is the downscaled version of the [Food121](https://huggingface.co./datasets/ItsNotRohit/Food121) dataset. All images are downscaled to a maximum of 224*224. |
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This dataset is the combination of the [Food101](https://huggingface.co./datasets/food101), [Indian Food Classification](https://www.kaggle.com/datasets/l33tc0d3r/indian-food-classification) and [The-massive-Indian-Food-Dataset](https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset) datasets. |
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This Dataset aims to be a viable dataset for Image Classification of Foods with an added Indian context. This dataset has 126 classes with each class having 900 images in the train split and 100 images in the test split. |
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### Dataset Sources |
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- **Food101:** https://huggingface.co./datasets/food101 |
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- **Indian Food Classification:** https://www.kaggle.com/datasets/l33tc0d3r/indian-food-classification |
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- **The-massive-Indian-Food-Dataset:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset |
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