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{"default": { |
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"description": "37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.\n", |
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"citation": "@InProceedings{parkhi12a,\n author = \"Parkhi, O. M. and Vedaldi, A. and Zisserman, A. and Jawahar, C.~V.\",\n title = \"Cats and Dogs\",\n booktitle = \"IEEE Conference on Computer Vision and Pattern Recognition\",\n year = \"2012\",\n}\n\n", |
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"homepage": "https://www.robots.ox.ac.uk/~vgg/data/pets/", |
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"license": "CC BY-SA 4.0", |
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"features": { |
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"image": { |
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"_type": "Image" |
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}, |
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"label": { |
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"names": [ |
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"abyssinian", |
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"american bulldog", |
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"american pit bull terrier", |
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"basset hound", |
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"beagle", |
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"bengal", |
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"birman", |
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"bombay", |
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"boxer", |
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"british shorthair", |
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"chihuahua", |
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"egyptian mau", |
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"english cocker spaniel", |
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"english setter", |
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"german shorthaired", |
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"great pyrenees", |
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"havanese", |
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"japanese chin", |
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"keeshond", |
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"leonberger", |
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"maine coon", |
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"miniature pinscher", |
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"newfoundland", |
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"persian", |
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"pomeranian", |
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"pug", |
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"ragdoll", |
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"russian blue", |
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"saint bernard", |
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"samoyed", |
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"scottish terrier", |
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"shiba inu", |
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"siamese", |
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"sphynx", |
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"staffordshire bull terrier", |
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"wheaten terrier", |
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"yorkshire terrier" |
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], |
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"_type": "ClassLabel" |
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}, |
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"species": { |
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"names": [ |
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"Cat", |
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"Dog" |
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], |
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"_type": "ClassLabel" |
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}, |
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"id": { |
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"dtype": "int64", |
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"_type": "Value" |
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} |
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}, |
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"builder_name": "oxford-iiit-pet", |
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"config_name": "default", |
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"version": { |
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"version_str": "1.0.0", |
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"major": 1, |
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"minor": 0, |
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"patch": 0 |
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}, |
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"splits": { |
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"train": { |
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"name": "train", |
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"num_bytes": 389037569.0, |
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"num_examples": 3680, |
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"dataset_name": "OxfordPets_train" |
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} |
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}, |
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"download_size": 377541137, |
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"dataset_size": 389037569.0, |
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"size_in_bytes": 766578706.0 |
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}} |