metadata
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int64
- name: height
dtype: int64
- name: objects
sequence:
- name: bbox_id
dtype: int64
- name: category
dtype:
class_label:
names:
'0': person
'1': bicycle
'2': car
'3': motorcycle
'4': airplane
'5': bus
'6': train
'7': truck
'8': boat
'9': traffic light
'10': fire hydrant
'11': stop sign
'12': parking meter
'13': bench
'14': bird
'15': cat
'16': dog
'17': horse
'18': sheep
'19': cow
'20': elephant
'21': bear
'22': zebra
'23': giraffe
'24': backpack
'25': umbrella
'26': handbag
'27': tie
'28': suitcase
'29': frisbee
'30': skis
'31': snowboard
'32': sports ball
'33': kite
'34': baseball bat
'35': baseball glove
'36': skateboard
'37': surfboard
'38': tennis racket
'39': bottle
'40': wine glass
'41': cup
'42': fork
'43': knife
'44': spoon
'45': bowl
'46': banana
'47': apple
'48': sandwich
'49': orange
'50': broccoli
'51': carrot
'52': hot dog
'53': pizza
'54': donut
'55': cake
'56': chair
'57': couch
'58': potted plant
'59': bed
'60': dining table
'61': toilet
'62': tv
'63': laptop
'64': mouse
'65': remote
'66': keyboard
'67': cell phone
'68': microwave
'69': oven
'70': toaster
'71': sink
'72': refrigerator
'73': book
'74': clock
'75': vase
'76': scissors
'77': teddy bear
'78': hair drier
'79': toothbrush
- name: bbox
sequence: float64
length: 4
- name: area
dtype: float64
- name: text
dtype: string
splits:
- name: train
num_bytes: 6088621074
num_examples: 117264
download_size: 6072958954
dataset_size: 6088621074
configs:
- config_name: default
data_files:
- split: train
path: data/train-*