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--- |
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pretty_name: "Stanford Dogs" |
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license: "mit" |
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task_category: "Classification" |
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--- |
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# Dataset |
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This dataset is extracted from [Stanford Dogs Dataset](http://vision.stanford.edu/aditya86/ImageNetDogs/) |
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# Load |
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```python |
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import datasets |
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dataset = datasets.load_dataset("Alanox/stanford-dogs", split="full") |
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print(dataset) |
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""" |
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Dataset({ |
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features: ['name', 'annotations', 'target', 'image'], |
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num_rows: 20580 |
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}) |
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""" |
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print(dataset.features) |
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""" |
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{ |
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'name': Value(dtype='string', id=None), |
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'annotations': Array2D(shape=(None, 4), dtype='int32', id=None), |
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# ["xmin", "ymin", "xmax", "ymax"] |
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'target': Value(dtype='string', id=None), |
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'image': Image(decode=True, id=None) |
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} |
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""" |
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``` |
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This dataset was created by the scripts from [this github repo](https://github.com/AlanBlanchet/ClassezDesImagesAvecDesAlgorithmesDeDeeplearning) |
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# Fixes |
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- `n02105855_2933.jpg` was not a `.jpg`. Converted all images to `.jpg` |
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