dataset_info: | |
features: | |
- name: img | |
dtype: image | |
- name: fine_label | |
dtype: | |
class_label: | |
names: | |
'0': apple | |
'1': aquarium_fish | |
'2': baby | |
'3': bear | |
'4': beaver | |
'5': bed | |
'6': bee | |
'7': beetle | |
'8': bicycle | |
'9': bottle | |
'10': bowl | |
'11': boy | |
'12': bridge | |
'13': bus | |
'14': butterfly | |
'15': camel | |
'16': can | |
'17': castle | |
'18': caterpillar | |
'19': cattle | |
'20': chair | |
'21': chimpanzee | |
'22': clock | |
'23': cloud | |
'24': cockroach | |
'25': couch | |
'26': cra | |
'27': crocodile | |
'28': cup | |
'29': dinosaur | |
'30': dolphin | |
'31': elephant | |
'32': flatfish | |
'33': forest | |
'34': fox | |
'35': girl | |
'36': hamster | |
'37': house | |
'38': kangaroo | |
'39': keyboard | |
'40': lamp | |
'41': lawn_mower | |
'42': leopard | |
'43': lion | |
'44': lizard | |
'45': lobster | |
'46': man | |
'47': maple_tree | |
'48': motorcycle | |
'49': mountain | |
'50': mouse | |
'51': mushroom | |
'52': oak_tree | |
'53': orange | |
'54': orchid | |
'55': otter | |
'56': palm_tree | |
'57': pear | |
'58': pickup_truck | |
'59': pine_tree | |
'60': plain | |
'61': plate | |
'62': poppy | |
'63': porcupine | |
'64': possum | |
'65': rabbit | |
'66': raccoon | |
'67': ray | |
'68': road | |
'69': rocket | |
'70': rose | |
'71': sea | |
'72': seal | |
'73': shark | |
'74': shrew | |
'75': skunk | |
'76': skyscraper | |
'77': snail | |
'78': snake | |
'79': spider | |
'80': squirrel | |
'81': streetcar | |
'82': sunflower | |
'83': sweet_pepper | |
'84': table | |
'85': tank | |
'86': telephone | |
'87': television | |
'88': tiger | |
'89': tractor | |
'90': train | |
'91': trout | |
'92': tulip | |
'93': turtle | |
'94': wardrobe | |
'95': whale | |
'96': willow_tree | |
'97': wolf | |
'98': woman | |
'99': worm | |
- name: coarse_label | |
dtype: | |
class_label: | |
names: | |
'0': aquatic_mammals | |
'1': fish | |
'2': flowers | |
'3': food_containers | |
'4': fruit_and_vegetables | |
'5': household_electrical_devices | |
'6': household_furniture | |
'7': insects | |
'8': large_carnivores | |
'9': large_man-made_outdoor_things | |
'10': large_natural_outdoor_scenes | |
'11': large_omnivores_and_herbivores | |
'12': medium_mammals | |
'13': non-insect_invertebrates | |
'14': people | |
'15': reptiles | |
'16': small_mammals | |
'17': trees | |
'18': vehicles_1 | |
'19': vehicles_2 | |
splits: | |
- name: train | |
num_bytes: 1125013.56 | |
num_examples: 500 | |
download_size: 1132520 | |
dataset_size: 1125013.56 | |
# Dataset Card for "cifar_500" | |
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |