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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'bboxes', 'expression'}) and 1 missing columns ({'objects'}).

This happened while the json dataset builder was generating data using

hf://datasets/JefferyZhan/Griffon-G-CCMD-8M/SFT/flicks_reg_50000.jsonl (at revision 43a5aae80b117ba0d618c31643c9156335a1a651)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              task_name: string
              image_path: string
              dataset_name: string
              width: int64
              height: int64
              expression: string
              bboxes: list<item: int64>
                child 0, item: int64
              to
              {'task_name': Value('string'), 'image_path': Value('string'), 'dataset_name': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'objects': List({'category_name': Value('string'), 'bboxes': List(List(Value('float64')))})}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'bboxes', 'expression'}) and 1 missing columns ({'objects'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/JefferyZhan/Griffon-G-CCMD-8M/SFT/flicks_reg_50000.jsonl (at revision 43a5aae80b117ba0d618c31643c9156335a1a651)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

task_name
string
image_path
string
dataset_name
string
width
int64
height
int64
objects
list
DET
000000391895.jpg
COCO
640
360
[ { "category_name": "motorcycle", "bboxes": [ [ 359.17, 146.17, 471.62, 359.74 ] ] }, { "category_name": "person", "bboxes": [ [ 339.88, 22.16, 493.76, 322.89000000000004 ], [ 471.64, ...
DET
000000522418.jpg
COCO
640
480
[ { "category_name": "person", "bboxes": [ [ 382.48, 0, 639.28, 474.31 ] ] }, { "category_name": "knife", "bboxes": [ [ 234.06, 406.61, 454, 449.28000000000003 ] ] }, { "category_name": "cake", ...
DET
000000184613.jpg
COCO
500
336
[ { "category_name": "cow", "bboxes": [ [ 239.9, 111.16, 368.52, 210.87 ], [ 285.08, 85.99, 455.30999999999995, 150.47 ], [ 452.49, 85.93, 500, 108.75 ], [ 296.96, ...
DET
000000318219.jpg
COCO
556
640
[ { "category_name": "person", "bboxes": [ [ 40.65, 38.8, 459.03, 640 ], [ 0, 0, 198.92, 631.35 ] ] }, { "category_name": "mouse", "bboxes": [ [ 455.98, 436.73, 514.55000000000...
DET
000000554625.jpg
COCO
426
640
[ { "category_name": "tv", "bboxes": [ [ 380.74, 112.85, 421.36, 361.66999999999996 ], [ 339.13, 32.99, 372.12, 208.49 ], [ 359.55, 68.79, 405.57, 271.58 ], [ 322.4...
DET
000000574769.jpg
COCO
480
640
[ { "category_name": "cat", "bboxes": [ [ 243.11, 174.53, 335.68, 339.72 ] ] }, { "category_name": "bottle", "bboxes": [ [ 25.49, 252.06, 44.849999999999994, 319.63 ], [ 67.15, 324.79,...
DET
000000060623.jpg
COCO
640
427
[ { "category_name": "person", "bboxes": [ [ 1.91, 1.91, 347.54, 422.21000000000004 ], [ 283.38, 2.17, 577.37, 327 ], [ 470.58, 0.56, 620.73, 49.03 ] ] }, { "category...
DET
000000309022.jpg
COCO
640
480
[ { "category_name": "bottle", "bboxes": [ [ 55.5, 228.79, 62.59, 287.69 ], [ 60.96, 230.25, 77.49000000000001, 290.17 ], [ 75.44, 235.56, 92.07, 288.68 ], [ 67.43,...
DET
000000005802.jpg
COCO
640
479
[ { "category_name": "bottle", "bboxes": [ [ 510.67, 324.92, 525.83, 367.99 ], [ 550.33, 346.19, 559.83, 399.37 ], [ 541.31, 354.23, 552.9599999999999, 390.17 ], [ ...
DET
000000222564.jpg
COCO
640
480
[ { "category_name": "bottle", "bboxes": [ [ 439.18, 133.93, 455.39, 167.28 ] ] }, { "category_name": "person", "bboxes": [ [ 2.15, 144.34, 79.64, 380.03999999999996 ], [ 69.03, 101.06...
DET
000000118113.jpg
COCO
480
640
[ { "category_name": "bottle", "bboxes": [ [ 126.72, 355.82, 145.56, 401.73 ] ] }, { "category_name": "book", "bboxes": [ [ 284.04, 180.23, 327.82000000000005, 195.1 ], [ 280.66, 191.7...
DET
000000193271.jpg
COCO
480
320
[ { "category_name": "bottle", "bboxes": [ [ 433.91, 132.58, 448.14000000000004, 176.79000000000002 ], [ 43.35, 160.52, 59.18, 205.25 ], [ 137.73, 142.11, 162.08999999999997, 177.86 ...
DET
000000224736.jpg
COCO
640
427
[ { "category_name": "toilet", "bboxes": [ [ 148.1, 297.65, 270.24, 383.24 ] ] }, { "category_name": "sink", "bboxes": [ [ 470.09, 148.13, 552.0699999999999, 207.29 ] ] } ]
DET
000000483108.jpg
COCO
428
640
[ { "category_name": "bicycle", "bboxes": [ [ 229.32, 416.77, 294.64, 572.67 ] ] }, { "category_name": "train", "bboxes": [ [ 0, 187.98, 428, 525.2 ] ] }, { "category_name": "person", "bboxe...
DET
000000403013.jpg
COCO
301
450
[ { "category_name": "microwave", "bboxes": [ [ 250.35, 174.74, 284.67, 224.49 ] ] }, { "category_name": "sink", "bboxes": [ [ 22.35, 269.11, 79.6, 293.77000000000004 ] ] }, { "category_name": "...
DET
000000374628.jpg
COCO
640
326
[ { "category_name": "chair", "bboxes": [ [ 86.16, 188.44, 186.57, 326 ], [ 494.67, 166.67, 555.41, 264.6 ], [ 413.01, 157.46, 471.82, 238.89000000000001 ], [ 464.3...
DET
000000328757.jpg
COCO
500
332
[ { "category_name": "bottle", "bboxes": [ [ 53.27, 236.74, 67.09, 275.29 ] ] }, { "category_name": "person", "bboxes": [ [ 184.28, 61.18, 493.9, 328.27 ] ] }, { "category_name": "spoon", "b...
DET
000000384213.jpg
COCO
375
500
[ { "category_name": "bottle", "bboxes": [ [ 174.18, 254.9, 192.72, 308.07 ], [ 218.49, 248.34, 249.02, 322.05 ], [ 131.05, 255.19, 156.41000000000003, 328.65999999999997 ], ...
DET
000000293802.jpg
COCO
425
640
[ { "category_name": "chair", "bboxes": [ [ 341.33, 202.07, 377.12, 250.24 ], [ 354.08, 188.77, 379.83, 220.39000000000001 ] ] }, { "category_name": "dining table", "bboxes": [ [ 364.06, ...
DET
000000086408.jpg
COCO
640
427
[ { "category_name": "refrigerator", "bboxes": [ [ 384.68, 62.99, 567.41, 347.66 ] ] }, { "category_name": "microwave", "bboxes": [ [ 210.14, 21.11, 355.99, 117.07 ] ] }, { "category_name": "ove...
DET
000000372938.jpg
COCO
640
424
[ { "category_name": "truck", "bboxes": [ [ 162.93, 156.92, 529.76, 376.07 ] ] }, { "category_name": "person", "bboxes": [ [ 178.74, 77, 247.54000000000002, 256.88 ], [ 247.34, 92.92, ...
DET
000000386164.jpg
COCO
480
640
[ { "category_name": "dining table", "bboxes": [ [ 7.19, 35.96, 478.92, 624.1800000000001 ] ] }, { "category_name": "fork", "bboxes": [ [ 0.27, 309.01, 480, 403.26 ], [ 0, 179.16, ...
DET
000000223648.jpg
COCO
480
640
[ { "category_name": "chair", "bboxes": [ [ 181.01, 358.17, 306.91999999999996, 637.51 ], [ 98.14, 257.22, 187.16, 494.62 ], [ 40.45, 187.45, 101.13, 383.92999999999995 ], ...
DET
000000204805.jpg
COCO
500
346
[ { "category_name": "boat", "bboxes": [ [ 4.67, 91.75, 485.18, 286.13 ] ] }, { "category_name": "person", "bboxes": [ [ 403.88, 170.12, 431.68, 203.65 ], [ 379.19, 171.07, 404...
DET
000000113588.jpg
COCO
425
640
[ { "category_name": "tv", "bboxes": [ [ 0, 181.56, 180.88, 386.6 ], [ 156.56, 107.65, 224.53, 190.60000000000002 ] ] }, { "category_name": "person", "bboxes": [ [ 199.53, 24.66, ...
DET
000000384553.jpg
COCO
640
425
[ { "category_name": "person", "bboxes": [ [ 259.99, 204.11, 397.18, 347.05 ] ] }, { "category_name": "elephant", "bboxes": [ [ 219.2, 285.73, 443.19, 420.69000000000005 ], [ 202.54, 1...
DET
000000337264.jpg
COCO
640
427
[ { "category_name": "bottle", "bboxes": [ [ 228.72, 205.43, 253.62, 315.18 ], [ 294.48, 211.25, 322.52000000000004, 305.78 ], [ 321.62, 201.22, 359.99, 304.75 ], [ ...
DET
000000368402.jpg
COCO
640
427
[ { "category_name": "bottle", "bboxes": [ [ 12.47, 196.42, 29.200000000000003, 257.32 ], [ 422.2, 219.87, 441.28, 266.08 ], [ 142.52, 209.21, 154.83, 237.09 ] ] }, { ...
DET
000000012448.jpg
COCO
427
640
[ { "category_name": "person", "bboxes": [ [ 0, 128.1, 427, 631.47 ] ] }, { "category_name": "teddy bear", "bboxes": [ [ 1.44, 139.51, 197.03, 533.5699999999999 ] ] } ]
DET
000000079841.jpg
COCO
640
213
[ { "category_name": "bicycle", "bboxes": [ [ 157.57, 149.9, 225.29, 188.76 ], [ 510.21, 153.91, 574, 190.89 ] ] }, { "category_name": "person", "bboxes": [ [ 173.86, 118.99, 2...
DET
000000515289.jpg
COCO
639
640
[ { "category_name": "bicycle", "bboxes": [ [ 264.26, 169.29, 374.37, 419.78 ], [ 200.85, 144.49, 250.14999999999998, 313.28 ], [ 129.94, 110.24, 181.07999999999998, 258.14 ] ...
DET
000000562150.jpg
COCO
640
516
[ { "category_name": "bicycle", "bboxes": [ [ 416.34, 1.85, 507.14, 489.06 ] ] }, { "category_name": "person", "bboxes": [ [ 42.9, 2.32, 462.65999999999997, 509.04 ] ] }, { "category_name": "cat...
DET
000000542145.jpg
COCO
375
500
[ { "category_name": "bottle", "bboxes": [ [ 241.68, 210.27, 263.17, 254.74 ], [ 170.59, 214.91, 191.87, 250.45 ] ] }, { "category_name": "toothbrush", "bboxes": [ [ 0, 295.42, ...
DET
000000412151.jpg
COCO
500
334
[ { "category_name": "bottle", "bboxes": [ [ 104.56, 151.47, 112.86, 173.22 ], [ 46.97, 143.87, 58.54, 175.54000000000002 ], [ 90.82, 148.85, 98.89999999999999, 174.72 ], [...
DET
000000579003.jpg
COCO
480
640
[ { "category_name": "person", "bboxes": [ [ 373.18, 182.84, 445.89, 283.11 ] ] }, { "category_name": "sink", "bboxes": [ [ 367.17, 375.13, 431.44, 477.15999999999997 ], [ 235.07, 301....
DET
000000540186.jpg
COCO
621
640
[ { "category_name": "sink", "bboxes": [ [ 344, 275.99, 442.90999999999997, 302.79 ], [ 307.08, 292.14, 328.06, 298.65 ] ] } ]
DET
000000242611.jpg
COCO
640
364
[ { "category_name": "potted plant", "bboxes": [ [ 179.05, 158.02, 260.44, 204.12 ], [ 142.82, 159.16, 208.32999999999998, 191.92 ] ] }, { "category_name": "chair", "bboxes": [ [ 523.11, ...
DET
000000051191.jpg
COCO
628
640
[ { "category_name": "potted plant", "bboxes": [ [ 373.06, 129.63, 481.23, 340.27 ] ] }, { "category_name": "sink", "bboxes": [ [ 368.9, 327.28, 414.96, 341.25 ] ] }, { "category_name": "vase", ...
DET
000000269105.jpg
COCO
480
640
[ { "category_name": "potted plant", "bboxes": [ [ 142.38, 335.1, 294.83, 514.88 ] ] }, { "category_name": "toilet", "bboxes": [ [ 117.58, 491.27, 424.56, 640 ] ] } ]
DET
000000294832.jpg
COCO
640
429
[ { "category_name": "toilet", "bboxes": [ [ 0, 259.22, 153.56, 423.33000000000004 ] ] }, { "category_name": "sink", "bboxes": [ [ 93.78, 210.55, 234.77, 221.46 ] ] } ]
DET
000000462565.jpg
COCO
640
427
[ { "category_name": "bicycle", "bboxes": [ [ 20.68, 259.6, 178.22, 398.88 ], [ 408.46, 197.47, 437.21999999999997, 254.6 ], [ 568.77, 186.44, 582.3199999999999, 239.55 ], ...
DET
000000144941.jpg
COCO
500
334
[ { "category_name": "potted plant", "bboxes": [ [ 149.02, 154.7, 277.77, 297.61 ] ] }, { "category_name": "toilet", "bboxes": [ [ 282.21, 198.9, 392.53999999999996, 329.5 ] ] }, { "category_nam...
DET
000000173350.jpg
COCO
640
480
[ { "category_name": "dog", "bboxes": [ [ 266.67, 0, 468.36, 269.58 ], [ 250.18, 254.3, 453.82, 457.94 ] ] }, { "category_name": "toilet", "bboxes": [ [ 106.79, 0, 308.49, ...
DET
000000060760.jpg
COCO
375
500
[ { "category_name": "toilet", "bboxes": [ [ 240.45, 412.36, 375, 494.38 ] ] } ]
DET
000000324266.jpg
COCO
640
425
[ { "category_name": "sink", "bboxes": [ [ 497.16, 209.2, 614.8100000000001, 243.70999999999998 ] ] }, { "category_name": "toilet", "bboxes": [ [ 217.74, 213.03, 244.34, 251.42000000000002 ] ] }, { ...
DET
000000166532.jpg
COCO
640
480
[ { "category_name": "sink", "bboxes": [ [ 472.6, 223.81, 583.57, 298.97 ] ] } ]
DET
000000360772.jpg
COCO
480
640
[ { "category_name": "toilet", "bboxes": [ [ 117.93, 271.58, 407.01, 634.01 ] ] } ]
DET
000000191381.jpg
COCO
640
480
[ { "category_name": "toilet", "bboxes": [ [ 102.7, 0, 475.68, 387.57 ] ] } ]
DET
000000111076.jpg
COCO
640
427
[ { "category_name": "bottle", "bboxes": [ [ 410.1, 137.41, 435.1, 199.53 ] ] }, { "category_name": "toilet", "bboxes": [ [ 66.87, 169.17, 224.49, 400.35 ] ] }, { "category_name": "sink", "b...
DET
000000340559.jpg
COCO
428
640
[ { "category_name": "sink", "bboxes": [ [ 148.99, 402.55, 301.20000000000005, 453.38 ], [ 235.87, 467.42, 417.08000000000004, 569.53 ] ] } ]
DET
000000258985.jpg
COCO
640
603
[ { "category_name": "potted plant", "bboxes": [ [ 378.46, 383.64, 491.44, 506.5 ] ] }, { "category_name": "toilet", "bboxes": [ [ 140.2, 306.94, 337.57, 493.43 ] ] } ]
DET
000000509822.jpg
COCO
640
425
[ { "category_name": "bicycle", "bboxes": [ [ 94.85, 116.69, 527.15, 372.96999999999997 ] ] } ]
DET
000000321107.jpg
COCO
269
480
[ { "category_name": "bicycle", "bboxes": [ [ 155.39, 174.12, 253.27999999999997, 333.20000000000005 ] ] }, { "category_name": "car", "bboxes": [ [ 23.93, 87.57, 136.26, 123.52 ], [ 213.85, ...
DET
000000229643.jpg
COCO
640
480
[ { "category_name": "person", "bboxes": [ [ 125.15, 123.57, 168.02, 244.14 ] ] }, { "category_name": "sink", "bboxes": [ [ 201.84, 252.62, 273.18, 274.65 ] ] } ]
DET
000000125059.jpg
COCO
480
640
[ { "category_name": "bottle", "bboxes": [ [ 418.22, 278.45, 452.72, 348.11 ] ] }, { "category_name": "toilet", "bboxes": [ [ 8.76, 333.4, 219.47, 481.06999999999994 ] ] }, { "category_name": "s...
DET
000000455483.jpg
COCO
640
480
[ { "category_name": "sink", "bboxes": [ [ 76.38, 220.49, 308.37, 353.05 ], [ 275.49, 221.66, 392.14, 255.44 ] ] }, { "category_name": "person", "bboxes": [ [ 326.49, 70.8, 387...
DET
000000436141.jpg
COCO
640
480
[ { "category_name": "toilet", "bboxes": [ [ 402.34, 316.82, 550.11, 480 ] ] }, { "category_name": "sink", "bboxes": [ [ 11.03, 266.96, 406.46, 422.34999999999997 ] ] } ]
DET
000000129001.jpg
COCO
480
640
[ { "category_name": "bottle", "bboxes": [ [ 354.38, 453.1, 384.45, 517.1 ], [ 382.08, 441.12, 400.7, 471.67 ] ] }, { "category_name": "sink", "bboxes": [ [ 0, 411.95, 125.6, ...
DET
000000232262.jpg
COCO
640
427
[ { "category_name": "motorcycle", "bboxes": [ [ 28.49, 224.45, 54.09, 257.27 ] ] }, { "category_name": "traffic light", "bboxes": [ [ 169.14, 74.88, 205.79, 88.92999999999999 ] ] }, { "category...
DET
000000061181.jpg
COCO
500
321
[ { "category_name": "bicycle", "bboxes": [ [ 35.76, 168.58, 41.339999999999996, 182.53 ] ] }, { "category_name": "motorcycle", "bboxes": [ [ 389.31, 179.02, 398.44, 193.38 ] ] }, { "category_na...
DET
000000166323.jpg
COCO
425
640
[ { "category_name": "sink", "bboxes": [ [ 101.45, 116.82, 233.20999999999998, 222.07 ] ] } ]
DET
000000580041.jpg
COCO
375
500
[ { "category_name": "car", "bboxes": [ [ 0, 247.31, 99.55, 491.15999999999997 ], [ 22.83, 273.97, 125.57, 418.95000000000005 ], [ 140.32, 307.37, 230.64999999999998, 376.5900000000000...
DET
000000326781.jpg
COCO
480
640
[ { "category_name": "toilet", "bboxes": [ [ 116.36, 421.27, 179.53, 523.74 ] ] }, { "category_name": "sink", "bboxes": [ [ 56.95, 383.99, 95.41, 437.67 ] ] } ]
DET
000000387362.jpg
COCO
428
640
[ { "category_name": "bottle", "bboxes": [ [ 141.39, 176.19, 189.57, 288.83 ] ] }, { "category_name": "person", "bboxes": [ [ 127.77, 99.5, 288.71, 252.63 ] ] }, { "category_name": "sink", "...
DET
000000138079.jpg
COCO
480
640
[ { "category_name": "toilet", "bboxes": [ [ 277.98, 365.3, 450.16, 629.6800000000001 ] ] }, { "category_name": "sink", "bboxes": [ [ 371.89, 434.59, 480, 565.77 ] ] } ]
DET
000000556616.jpg
COCO
640
427
[ { "category_name": "parking meter", "bboxes": [ [ 102.67, 43.18, 213.01999999999998, 387.66 ], [ 281.44, 160.01, 321.7, 256.36 ], [ 334.59, 138.87, 354.15, 174.14000000000001 ]...
DET
000000472621.jpg
COCO
640
298
[ { "category_name": "bottle", "bboxes": [ [ 312.56, 136.05, 317.68, 154.68 ], [ 306.06, 133.31, 313.06, 156.54 ] ] }, { "category_name": "clock", "bboxes": [ [ 597.3, 145.9, 6...
DET
000000192440.jpg
COCO
640
426
[ { "category_name": "bottle", "bboxes": [ [ 382.54, 230.59, 409.20000000000005, 272.12 ], [ 367.88, 133.83, 388.39, 153.47000000000003 ], [ 385.71, 139.57, 401.81, 154.73999999999998 ...
DET
000000086320.jpg
COCO
500
336
[ { "category_name": "sink", "bboxes": [ [ 308.06, 252.94, 396.4, 300.51 ] ] } ]
DET
000000256668.jpg
COCO
375
500
[ { "category_name": "toilet", "bboxes": [ [ 56.18, 164.04, 325.84000000000003, 494.38 ] ] } ]
DET
000000383445.jpg
COCO
640
480
[ { "category_name": "car", "bboxes": [ [ 0, 1.13, 639.25, 473.21999999999997 ] ] }, { "category_name": "donut", "bboxes": [ [ 269.15, 98.1, 421.71, 251.9 ] ] } ]
DET
000000565797.jpg
COCO
640
454
[ { "category_name": "cat", "bboxes": [ [ 125.95, 80.06, 455.95, 410.06 ] ] }, { "category_name": "car", "bboxes": [ [ 13.92, 9.1, 632.8199999999999, 438.47 ] ] } ]
DET
000000081922.jpg
COCO
640
426
[ { "category_name": "car", "bboxes": [ [ 172.13, 360.85, 211.7, 406.68 ], [ 199.58, 351.6, 283.17, 420.62 ], [ 298.01, 372.13, 341.95, 410.78999999999996 ], [ 341....
DET
000000050125.jpg
COCO
640
413
[ { "category_name": "car", "bboxes": [ [ 433.26, 182.24, 530.72, 247.66000000000003 ], [ 507.16, 176.26, 591.07, 218.22 ], [ 458.78, 172.96, 510.15, 184.38 ], [ 58...
DET
000000364521.jpg
COCO
640
426
[ { "category_name": "toilet", "bboxes": [ [ 58.53, 92.59, 477.80999999999995, 421.67999999999995 ], [ 25.36, 0.8, 258.47, 67.74 ] ] } ]
DET
000000394892.jpg
COCO
640
427
[ { "category_name": "car", "bboxes": [ [ 0.97, 124.62, 395.12, 315.9 ], [ 560.95, 147.82, 640, 269.69 ], [ 315.86, 148.18, 483.54, 204.73000000000002 ] ] }, { "categ...
DET
000000001146.jpg
COCO
427
640
[ { "category_name": "tie", "bboxes": [ [ 129.44, 252.04, 204.22, 630.29 ] ] }, { "category_name": "person", "bboxes": [ [ 0, 0, 312.05, 640 ] ] } ]
DET
000000310391.jpg
COCO
640
360
[ { "category_name": "car", "bboxes": [ [ 10.52, 103.55, 630.1999999999999, 337.35 ], [ 621.62, 236.87, 640, 284.16 ] ] }, { "category_name": "person", "bboxes": [ [ 567.47, 172.78, ...
DET
000000097434.jpg
COCO
640
266
[ { "category_name": "car", "bboxes": [ [ 0, 107.15, 88.94, 216.72 ], [ 0, 40.28, 38.41, 96.78 ], [ 563.93, 34.24, 639.3499999999999, 100.13 ], [ 600.33, 60...
DET
000000463836.jpg
COCO
640
480
[ { "category_name": "person", "bboxes": [ [ 203.9, 87.33, 310.99, 346.91999999999996 ] ] }, { "category_name": "backpack", "bboxes": [ [ 216.81, 111.1, 279.37, 192 ] ] }, { "category_name": "to...
DET
000000241876.jpg
COCO
500
375
[ { "category_name": "cat", "bboxes": [ [ 1.61, 1.48, 350, 278.90000000000003 ] ] }, { "category_name": "toilet", "bboxes": [ [ 168.54, 111.94, 399.44, 370.65 ] ] } ]
DET
000000156832.jpg
COCO
480
640
[ { "category_name": "toilet", "bboxes": [ [ 254.31, 285.41, 345.31, 486.57000000000005 ] ] }, { "category_name": "sink", "bboxes": [ [ 106.43, 325.03, 188.4, 395.51 ] ] } ]
DET
000000270721.jpg
COCO
640
480
[ { "category_name": "toilet", "bboxes": [ [ 1.09, 126.26, 143.67000000000002, 474.56 ] ] }, { "category_name": "sink", "bboxes": [ [ 452.07, 215.73, 639.94, 400.53 ] ] } ]
DET
000000462341.jpg
COCO
427
640
[ { "category_name": "bird", "bboxes": [ [ 114.42, 348.79, 121.61, 354.37 ], [ 140.97, 350.61, 150.67, 358.28000000000003 ], [ 100.83, 404.33, 109.42999999999999, 415.53999999999996 ...
DET
000000310103.jpg
COCO
640
480
[ { "category_name": "motorcycle", "bboxes": [ [ 131.89, 5.95, 477.84, 391.89 ], [ 536.75, 375.6, 640, 480 ] ] } ]
DET
000000032992.jpg
COCO
640
427
[ { "category_name": "vase", "bboxes": [ [ 0, 6.96, 640, 427 ] ] } ]
DET
000000122851.jpg
COCO
640
427
[ { "category_name": "motorcycle", "bboxes": [ [ 414.2, 163.04, 550.18, 243.39 ] ] }, { "category_name": "person", "bboxes": [ [ 62.34, 59.61, 308.6, 406.88 ], [ 467.63, 121.81, ...
DET
000000540763.jpg
COCO
425
640
[ { "category_name": "toilet", "bboxes": [ [ 110.99, 473.51, 281.08, 630.63 ] ] }, { "category_name": "bottle", "bboxes": [ [ 334.42, 201.14, 369.54, 285.24 ] ] }, { "category_name": "vase", ...
DET
000000138246.jpg
COCO
640
424
[ { "category_name": "horse", "bboxes": [ [ 371.69, 357.82, 400.09, 403.19 ], [ 462.33, 357.06, 523.13, 399.56 ], [ 287.6, 354.88, 330.73, 404.93 ] ] } ]
DET
000000197254.jpg
COCO
428
640
[ { "category_name": "horse", "bboxes": [ [ 101.65, 391.85, 248.13, 598.23 ], [ 56.99, 411.74, 134.18, 584.55 ] ] }, { "category_name": "person", "bboxes": [ [ 372.04, 429.3, 4...
DET
000000032907.jpg
COCO
640
480
[ { "category_name": "potted plant", "bboxes": [ [ 0.02, 57.95, 72.88, 129.60000000000002 ], [ 322.87, 15.07, 404.66, 118.38999999999999 ], [ 414.35, 14.64, 475.70000000000005, 124.41 ...
DET
000000251252.jpg
COCO
375
500
[ { "category_name": "motorcycle", "bboxes": [ [ 1.12, 19.1, 361.8, 494.38 ] ] }, { "category_name": "person", "bboxes": [ [ 203.68, 71, 229.98000000000002, 108.75 ], [ 175.18, 78.69, ...
DET
000000037675.jpg
COCO
640
415
[ { "category_name": "horse", "bboxes": [ [ 84.78, 207.05, 182.96, 388.23 ], [ 390.3, 289.59, 441.48, 362.42999999999995 ] ] }, { "category_name": "person", "bboxes": [ [ 280.98, 314.8...
DET
000000159537.jpg
COCO
425
640
[ { "category_name": "clock", "bboxes": [ [ 205.02, 484.81, 249.89000000000001, 523.07 ] ] } ]
DET
000000268556.jpg
COCO
640
640
[ { "category_name": "motorcycle", "bboxes": [ [ 80.4, 289.24, 563.68, 543.76 ] ] }, { "category_name": "handbag", "bboxes": [ [ 188.77, 288.51, 284.26, 388.06 ] ] }, { "category_name": "car", ...
DET
000000271177.jpg
COCO
375
500
[ { "category_name": "motorcycle", "bboxes": [ [ 64.96, 18.44, 324.25, 442.9 ] ] }, { "category_name": "person", "bboxes": [ [ 0, 137.94, 19.83, 204.73000000000002 ], [ 331.8, 153.22, ...
DET
000000075051.jpg
COCO
500
375
[ { "category_name": "toilet", "bboxes": [ [ 145.27, 16.47, 428.21000000000004, 358.53 ] ] } ]
DET
000000549399.jpg
COCO
640
424
[ { "category_name": "motorcycle", "bboxes": [ [ 39.6, 63.49, 614.76, 416.5 ] ] } ]
DET
000000085160.jpg
COCO
640
425
[ { "category_name": "tv", "bboxes": [ [ 118.3, 127.28, 269.02, 278.88 ], [ 502.8, 79.5, 551.16, 132.18 ], [ 266.19, 77.12, 315.90999999999997, 148.34 ] ] }, { "categ...
DET
000000559665.jpg
COCO
640
397
[ { "category_name": "car", "bboxes": [ [ 0, 125.5, 200.63, 240.76 ], [ 574.56, 141.37, 604.53, 150.33 ], [ 537.54, 224.85, 640, 331.27 ] ] }, { "category_name": "mot...
End of preview.