참고자료:
cifar100
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:cifar100/cifar100')
- 설명 :
The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images
per class. There are 500 training images and 100 testing images per class. There are 50000 training images and 10000 test images. The 100 classes are grouped into 20 superclasses.
There are two labels per image - fine label (actual class) and coarse label (superclass).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 10000 |
'train' | 50000 |
- 특징 :
{
"img": {
"id": null,
"_type": "Image"
},
"fine_label": {
"num_classes": 100,
"names": [
"apple",
"aquarium_fish",
"baby",
"bear",
"beaver",
"bed",
"bee",
"beetle",
"bicycle",
"bottle",
"bowl",
"boy",
"bridge",
"bus",
"butterfly",
"camel",
"can",
"castle",
"caterpillar",
"cattle",
"chair",
"chimpanzee",
"clock",
"cloud",
"cockroach",
"couch",
"cra",
"crocodile",
"cup",
"dinosaur",
"dolphin",
"elephant",
"flatfish",
"forest",
"fox",
"girl",
"hamster",
"house",
"kangaroo",
"keyboard",
"lamp",
"lawn_mower",
"leopard",
"lion",
"lizard",
"lobster",
"man",
"maple_tree",
"motorcycle",
"mountain",
"mouse",
"mushroom",
"oak_tree",
"orange",
"orchid",
"otter",
"palm_tree",
"pear",
"pickup_truck",
"pine_tree",
"plain",
"plate",
"poppy",
"porcupine",
"possum",
"rabbit",
"raccoon",
"ray",
"road",
"rocket",
"rose",
"sea",
"seal",
"shark",
"shrew",
"skunk",
"skyscraper",
"snail",
"snake",
"spider",
"squirrel",
"streetcar",
"sunflower",
"sweet_pepper",
"table",
"tank",
"telephone",
"television",
"tiger",
"tractor",
"train",
"trout",
"tulip",
"turtle",
"wardrobe",
"whale",
"willow_tree",
"wolf",
"woman",
"worm"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"coarse_label": {
"num_classes": 20,
"names": [
"aquatic_mammals",
"fish",
"flowers",
"food_containers",
"fruit_and_vegetables",
"household_electrical_devices",
"household_furniture",
"insects",
"large_carnivores",
"large_man-made_outdoor_things",
"large_natural_outdoor_scenes",
"large_omnivores_and_herbivores",
"medium_mammals",
"non-insect_invertebrates",
"people",
"reptiles",
"small_mammals",
"trees",
"vehicles_1",
"vehicles_2"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}