OxfordPets_train / dataset_infos.json
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{"default": {
"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",
"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",
"homepage": "https://www.robots.ox.ac.uk/~vgg/data/pets/",
"license": "CC BY-SA 4.0",
"features": {
"image": {
"_type": "Image"
},
"label": {
"names": [
"abyssinian",
"american bulldog",
"american pit bull terrier",
"basset hound",
"beagle",
"bengal",
"birman",
"bombay",
"boxer",
"british shorthair",
"chihuahua",
"egyptian mau",
"english cocker spaniel",
"english setter",
"german shorthaired",
"great pyrenees",
"havanese",
"japanese chin",
"keeshond",
"leonberger",
"maine coon",
"miniature pinscher",
"newfoundland",
"persian",
"pomeranian",
"pug",
"ragdoll",
"russian blue",
"saint bernard",
"samoyed",
"scottish terrier",
"shiba inu",
"siamese",
"sphynx",
"staffordshire bull terrier",
"wheaten terrier",
"yorkshire terrier"
],
"_type": "ClassLabel"
},
"species": {
"names": [
"Cat",
"Dog"
],
"_type": "ClassLabel"
},
"id": {
"dtype": "int64",
"_type": "Value"
}
},
"builder_name": "oxford-iiit-pet",
"config_name": "default",
"version": {
"version_str": "1.0.0",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 389037569.0,
"num_examples": 3680,
"dataset_name": "OxfordPets_train"
}
},
"download_size": 377541137,
"dataset_size": 389037569.0,
"size_in_bytes": 766578706.0
}}