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Datasets:
minato-ryan
/
coco-car-instance

Tasks:
Object Detection
Modalities:
Image
Text
Formats:
parquet
Size:
10K - 100K
Tags:
coco
subset
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
1
minato-ryan commited on
Commit
64126e8
•
1 Parent(s): 171b528

Upload dataset

Browse files
Files changed (6) hide show
  1. README.md +137 -0
  2. data/train-00000-of-00003.parquet +3 -0
  3. data/train-00001-of-00003.parquet +3 -0
  4. data/train-00002-of-00003.parquet +3 -0
  5. data/validation-00000-of-00002.parquet +3 -0
  6. data/validation-00001-of-00002.parquet +3 -0
README.md ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ dataset_info:
3
+ features:
4
+ - name: image
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+ dtype: image
6
+ - name: objects
7
+ struct:
8
+ - name: bbox
9
+ sequence:
10
+ sequence: float32
11
+ - name: categories
12
+ sequence:
13
+ class_label:
14
+ names:
15
+ '0': person
16
+ '1': bicycle
17
+ '2': car
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+ '3': motorcycle
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+ '4': airplane
20
+ '5': bus
21
+ '6': train
22
+ '7': truck
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+ '8': boat
24
+ '9': traffic light
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+ '10': fire hydrant
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+ '11': stop sign
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+ '12': parking meter
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+ '13': bench
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+ '14': bird
30
+ '15': cat
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+ '16': dog
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+ '17': horse
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+ '18': sheep
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+ '19': cow
35
+ '20': elephant
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+ '21': bear
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+ '22': zebra
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+ '23': giraffe
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+ '24': backpack
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+ '25': umbrella
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+ '26': handbag
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+ '27': tie
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+ '28': suitcase
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+ '29': frisbee
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+ '30': skis
46
+ '31': snowboard
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+ '32': sports ball
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+ '33': kite
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+ '34': baseball bat
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+ '35': baseball glove
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+ '36': skateboard
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+ '37': surfboard
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+ '38': tennis racket
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+ '39': bottle
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+ '40': wine glass
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+ '41': cup
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+ '42': fork
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+ '43': knife
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+ '44': spoon
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+ '45': bowl
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+ '46': banana
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+ '47': apple
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+ '48': sandwich
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+ '49': orange
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+ '50': broccoli
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+ '51': carrot
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+ '52': hot dog
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+ '53': pizza
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+ '54': donut
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+ '55': cake
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+ '56': chair
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+ '57': couch
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+ '58': potted plant
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+ '59': bed
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+ '60': dining table
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+ '61': toilet
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+ '62': tv
78
+ '63': laptop
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+ '64': mouse
80
+ '65': remote
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+ '66': keyboard
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+ '67': cell phone
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+ '68': microwave
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+ '69': oven
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+ '70': toaster
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+ '71': sink
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+ '72': refrigerator
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+ '73': book
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+ '74': clock
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+ '75': vase
91
+ '76': scissors
92
+ '77': teddy bear
93
+ '78': hair drier
94
+ '79': toothbrush
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+ - name: area
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+ sequence: float32
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+ - name: iscrowd
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+ sequence: bool
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+ - name: height
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+ dtype: int64
101
+ - name: width
102
+ dtype: int64
103
+ - name: date_captured
104
+ dtype: string
105
+ - name: license
106
+ dtype:
107
+ class_label:
108
+ names:
109
+ '0': Attribution-NonCommercial-ShareAlike License
110
+ '1': Attribution-NonCommercial License
111
+ '2': Attribution-NonCommercial-NoDerivs License
112
+ '3': Attribution License
113
+ '4': Attribution-ShareAlike License
114
+ '5': Attribution-NoDerivs License
115
+ '6': No known
116
+ '7': United States Government Work
117
+ - name: coco_url
118
+ dtype: string
119
+ - name: flickr_url
120
+ dtype: string
121
+ splits:
122
+ - name: train
123
+ num_bytes: 1469776815.615958
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+ num_examples: 8606
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+ - name: validation
126
+ num_bytes: 734013215.4732826
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+ num_examples: 4180
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+ download_size: 2239232113
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+ dataset_size: 2203790031.0892406
130
+ configs:
131
+ - config_name: default
132
+ data_files:
133
+ - split: train
134
+ path: data/train-*
135
+ - split: validation
136
+ path: data/validation-*
137
+ ---
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