metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': airplane
'1': apple
'2': background
'3': backpack
'4': banana
'5': baseball bat
'6': baseball glove
'7': bear
'8': bed
'9': bench
'10': bicycle
'11': bird
'12': boat
'13': book
'14': bottle
'15': bowl
'16': broccoli
'17': bus
'18': cake
'19': car
'20': carrot
'21': cat
'22': cell phone
'23': chair
'24': clock
'25': couch
'26': cow
'27': cup
'28': dining table
'29': dog
'30': donut
'31': elephant
'32': fire hydrant
'33': fork
'34': frisbee
'35': giraffe
'36': hair drier
'37': handbag
'38': horse
'39': hot dog
'40': keyboard
'41': kite
'42': knife
'43': laptop
'44': microwave
'45': motorcycle
'46': mouse
'47': orange
'48': oven
'49': parking meter
'50': person
'51': pizza
'52': potted plant
'53': refrigerator
'54': remote
'55': sandwich
'56': scissors
'57': sheep
'58': sink
'59': skateboard
'60': skis
'61': snowboard
'62': spoon
'63': sports ball
'64': stop sign
'65': suitcase
'66': surfboard
'67': teddy bear
'68': tennis racket
'69': tie
'70': toaster
'71': toilet
'72': toothbrush
'73': traffic light
'74': train
'75': truck
'76': tv
'77': umbrella
'78': vase
'79': wine glass
'80': zebra
splits:
- name: train
num_bytes: 51189054719
num_examples: 974411
- name: validation
num_bytes: 2120664196
num_examples: 41076
download_size: 53261239240
dataset_size: 53309718915