| | --- |
| | dataset_info: |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: masks |
| | sequence: |
| | image: |
| | mode: L |
| | - name: raw |
| | dtype: string |
| | - name: sent |
| | dtype: string |
| | - name: tokens |
| | sequence: string |
| | - name: file_name |
| | dtype: string |
| | - name: no_target |
| | dtype: bool |
| | - name: split |
| | dtype: string |
| | - name: height |
| | dtype: int64 |
| | - name: width |
| | dtype: int64 |
| | - name: flickr_url |
| | dtype: string |
| | - name: annotations |
| | list: |
| | - name: area |
| | dtype: float64 |
| | - name: bbox |
| | sequence: float64 |
| | - name: image_id |
| | dtype: int64 |
| | - name: iscrowd |
| | dtype: int64 |
| | - name: category |
| | sequence: |
| | 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 |
| | splits: |
| | - name: testB |
| | num_bytes: 2742257686.209 |
| | num_examples: 14933 |
| | - name: val |
| | num_bytes: 3040664347.83 |
| | num_examples: 16870 |
| | - name: testA |
| | num_bytes: 3436268315.104 |
| | num_examples: 18712 |
| | - name: train |
| | num_bytes: 41538236305.96 |
| | num_examples: 209344 |
| | download_size: 4026203358 |
| | dataset_size: 50757426655.103 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: testB |
| | path: data/testB-* |
| | - split: val |
| | path: data/val-* |
| | - split: testA |
| | path: data/testA-* |
| | |
| | --- |
| | |
| | gRefCOCO |
