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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,
172.82,
507.56,
220.92
]
]
},
{
"category_name": "bicycle",
"bboxes": [
[
486.01,
183.31,
516.64,
218.29
]
]
}
] |
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",
"bboxes": [
[
0,
316.04,
406.65,
473.53000000000003
]
]
},
{
"category_name": "sink",
"bboxes": [
[
305.45,
172.05,
362.81,
249.35000000000002
]
]
}
] |
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,
68.01,
319.34999999999997,
89.07000000000001
],
[
461.07,
75.92,
495.53,
90.11
],
[
65.33,
59.84,
85.97,
72.15
],
[
271.13,
87.59,
349.22,
110.60000000000001
],
[
257.75,
80.2,
287.42,
110.87
],
[
255.71,
132.65,
493.09000000000003,
317.67
]
]
},
{
"category_name": "umbrella",
"bboxes": [
[
103.44,
31.01,
258.23,
166.16
]
]
},
{
"category_name": "person",
"bboxes": [
[
146.48,
65.69,
307.31,
312.59000000000003
],
[
8.29,
57.26,
83.62,
204.16
],
[
45.24,
48.41,
91.21000000000001,
173.95999999999998
],
[
20.71,
44.87,
64.99000000000001,
95.22999999999999
],
[
0.75,
76.59,
36.91,
182.06
],
[
343.28,
63.97,
362.23999999999995,
92.7
],
[
362.05,
66.51,
379.49,
91.29
],
[
382.76,
60.79,
395.58,
93.33
],
[
413.61,
61.01,
425.53000000000003,
88.21
],
[
314.34,
57.09,
328.03,
88.82000000000001
],
[
288.04,
57.1,
297.8,
86.81
],
[
272.72,
56.58,
279.09000000000003,
87.12
],
[
8.93,
48.6,
18.1,
59.29
],
[
0,
35,
481,
185
]
]
}
] |
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,
514.5500000000001,
473.09000000000003
],
[
405.44,
594.41,
482.03,
634.64
],
[
329.2,
192.18,
397.09,
240.20000000000002
],
[
289.7,
319.6,
382.2,
340.67
]
]
},
{
"category_name": "keyboard",
"bboxes": [
[
314.26,
479.43,
470.66999999999996,
569.83
],
[
276.83,
241.89,
436.2,
406.9
]
]
},
{
"category_name": "tv",
"bboxes": [
[
505.24,
0,
553.1,
309.25
],
[
470.68,
0,
516.61,
191.86
],
[
442.51,
0,
485.9,
119.87
]
]
}
] |
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
],
[
322.48,
0,
369.73,
158.32
],
[
306.61,
0.33,
335.56,
71.97
]
]
},
{
"category_name": "person",
"bboxes": [
[
2.87,
73.18,
146.37,
605.56
],
[
105.2,
36.83,
217.26,
264.7
],
[
84.03,
1.57,
194.97,
66.55999999999999
],
[
27.33,
166.83,
346.60999999999996,
640
],
[
59.99,
55.16,
161.52,
174.72
]
]
},
{
"category_name": "mouse",
"bboxes": [
[
302.72,
580.32,
372.57000000000005,
627.47
],
[
337.8,
428.55,
394.1,
451.86
],
[
221.02,
382.68,
290.41,
397.13
],
[
308.78,
470.52,
393.35999999999996,
499.69
],
[
284.53,
312.54,
305.4,
320.89000000000004
]
]
},
{
"category_name": "keyboard",
"bboxes": [
[
243.33,
505.3,
370.23,
581.71
],
[
227.33,
397.25,
338.77,
450.46
],
[
214.26,
321.9,
286.76,
359.65
],
[
294.89,
281.49,
338.88,
313.33
]
]
}
] |
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,
91.08000000000001,
354.33000000000004
]
]
},
{
"category_name": "person",
"bboxes": [
[
103.32,
133.45,
334.35,
555.3399999999999
]
]
},
{
"category_name": "potted plant",
"bboxes": [
[
0.04,
170.72,
102.05000000000001,
313.21000000000004
]
]
},
{
"category_name": "refrigerator",
"bboxes": [
[
357.53,
143.94,
479.92999999999995,
543.4100000000001
]
]
},
{
"category_name": "clock",
"bboxes": [
[
116.15,
218.82,
150.5,
253.76
]
]
},
{
"category_name": "spoon",
"bboxes": [
[
50.27,
343.33,
85.52000000000001,
357.55
]
]
},
{
"category_name": "bowl",
"bboxes": [
[
63.42,
286.13,
110.99000000000001,
313.51
]
]
},
{
"category_name": "orange",
"bboxes": [
[
73.25,
256.33,
97.64,
276.09999999999997
],
[
101.96,
294.04,
126.83999999999999,
315.56
],
[
101.09,
272.33,
114.4,
287.63
],
[
112.96,
289.67,
134.93,
310.18
],
[
83.95,
273.73,
107.66,
293.08000000000004
],
[
60.25,
269.83,
85.03,
291.71999999999997
],
[
95.42,
262.18,
104.52,
276.25
]
]
},
{
"category_name": "oven",
"bboxes": [
[
289.24,
537.13,
415.42,
640
]
]
},
{
"category_name": "sink",
"bboxes": [
[
0,
316.05,
129.67,
374.83000000000004
]
]
},
{
"category_name": "handbag",
"bboxes": [
[
131.48,
445.77,
201.5,
563.85
]
]
}
] |
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_name": "spoon",
"bboxes": [
[
411.87,
127.67,
535.91,
213.60000000000002
]
]
},
{
"category_name": "bowl",
"bboxes": [
[
413.54,
237.06,
543.37,
352.47
]
]
},
{
"category_name": "wine glass",
"bboxes": [
[
560.67,
35.85,
640,
209.03
]
]
},
{
"category_name": "dining table",
"bboxes": [
[
343.14,
106.03,
640,
427
]
]
}
] |
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,
228.03,
76.27000000000001,
248.83
]
]
},
{
"category_name": "oven",
"bboxes": [
[
56.09,
151.01,
222.20000000000002,
281.53
],
[
165.02,
281.8,
428.41999999999996,
405.94
]
]
},
{
"category_name": "sink",
"bboxes": [
[
367.45,
213.12,
447.2,
228.19
]
]
},
{
"category_name": "bowl",
"bboxes": [
[
343.39,
168.7,
369.44,
172.56
]
]
}
] |
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
],
[
521.88,
332.37,
533.97,
376.27
],
[
544.3,
410.21,
555.68,
456.06
],
[
535.3,
424.29,
543.65,
444.70000000000005
],
[
533.36,
337.88,
548.13,
385
]
]
},
{
"category_name": "person",
"bboxes": [
[
15.04,
73.03,
291.05,
471.48
],
[
391.68,
179.4,
478.12,
452.65
]
]
},
{
"category_name": "knife",
"bboxes": [
[
571.18,
235.01,
577.13,
285.75
],
[
584.87,
248.05,
589.92,
288.27
],
[
580.93,
236.98,
584.9499999999999,
283.03
],
[
592.7,
252.39,
595.57,
289.4
]
]
},
{
"category_name": "bowl",
"bboxes": [
[
48.78,
217.36,
60.58,
225.23000000000002
],
[
96.16,
268.86,
122.22999999999999,
278.73
],
[
73.47,
271.06,
94.02,
279.67
],
[
546.62,
286.99,
577.97,
300.43
]
]
},
{
"category_name": "cup",
"bboxes": [
[
95.56,
260.97,
107.03,
268.1
],
[
111.69,
234.14,
120.64,
240.7
],
[
580.61,
300.83,
594.19,
312.34999999999997
],
[
559,
296.22,
567.48,
303.36
],
[
132.48,
234.75,
141.29999999999998,
239.89
],
[
34.19,
216.76,
47.15,
224.57999999999998
],
[
119.02,
234.62,
126.47,
241.36
],
[
49.87,
217.76,
59.989999999999995,
225.16
]
]
},
{
"category_name": "backpack",
"bboxes": [
[
2.81,
240,
64.42,
282.62
]
]
}
] |
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,
305.26,
412.79
]
]
},
{
"category_name": "microwave",
"bboxes": [
[
362.98,
149.67,
640,
384.67999999999995
]
]
},
{
"category_name": "oven",
"bboxes": [
[
249.1,
342.77,
356.61,
405.69
],
[
61.69,
279.88,
127.97,
395.21
],
[
29.4,
322.61,
74.72,
386.87
]
]
},
{
"category_name": "dining table",
"bboxes": [
[
1.25,
375.27,
638.34,
473.77
]
]
}
] |
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,
191.71,
334.17,
204.3
],
[
224.84,
235.82,
379.73,
300.57
],
[
242.24,
102.22,
357.78000000000003,
152.91
],
[
274.24,
202.43,
333.13,
215.35
],
[
226.62,
197.56,
283.53,
214.78
],
[
234,
121.68,
354.22,
169.08
]
]
},
{
"category_name": "dining table",
"bboxes": [
[
26.87,
374.69,
178.09,
525.91
]
]
},
{
"category_name": "oven",
"bboxes": [
[
169.59,
361.58,
312.28999999999996,
421.5
],
[
169.54,
425.92,
290.24,
531.09
]
]
}
] |
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
],
[
159.8,
142.96,
164.65,
172.54000000000002
],
[
226.42,
144.17,
238.26,
166.16
]
]
},
{
"category_name": "cup",
"bboxes": [
[
253.48,
157.91,
265.82,
170.14
],
[
306.34,
153.08,
318.10999999999996,
171.67000000000002
],
[
406.73,
104.22,
417.57,
110.56
]
]
},
{
"category_name": "spoon",
"bboxes": [
[
76.69,
162.19,
94.35,
178.24
],
[
53.78,
157.71,
64.94,
179.83
]
]
},
{
"category_name": "bowl",
"bboxes": [
[
296.48,
44.67,
318.85,
52.56
],
[
395.94,
48.6,
420.29,
61.010000000000005
],
[
290.83,
50.12,
322.43,
58.39
]
]
},
{
"category_name": "oven",
"bboxes": [
[
135.19,
185.53,
211.42000000000002,
301.3
]
]
},
{
"category_name": "toaster",
"bboxes": [
[
178.73,
149.74,
203.76999999999998,
171.33
]
]
},
{
"category_name": "wine glass",
"bboxes": [
[
406.3,
71.17,
417.18,
88.34
],
[
414.94,
96.37,
427.41,
109.89
]
]
},
{
"category_name": "microwave",
"bboxes": [
[
91.52,
84.68,
177.64999999999998,
140.86
]
]
},
{
"category_name": "fork",
"bboxes": [
[
69.53,
153.69,
81.18,
179.67
]
]
},
{
"category_name": "sink",
"bboxes": [
[
445.09,
199.29,
480,
246.10999999999999
]
]
}
] |
DET
|
000000224736.jpg
|
COCO
| 640 | 427 |
[
{
"category_name": "toilet",
"bboxes": [
[
148.1,
297.65,
270.24,
383.24
]
]
},
{
"category_name": "sink",
"bboxes": [
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] |
DET
|
000000483108.jpg
|
COCO
| 428 | 640 |
[
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] |
DET
|
000000403013.jpg
|
COCO
| 301 | 450 |
[
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DET
|
000000374628.jpg
|
COCO
| 640 | 326 |
[
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DET
|
000000328757.jpg
|
COCO
| 500 | 332 |
[
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DET
|
000000384213.jpg
|
COCO
| 375 | 500 |
[
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] |
DET
|
000000293802.jpg
|
COCO
| 425 | 640 |
[
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DET
|
000000086408.jpg
|
COCO
| 640 | 427 |
[
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DET
|
000000372938.jpg
|
COCO
| 640 | 424 |
[
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DET
|
000000386164.jpg
|
COCO
| 480 | 640 |
[
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DET
|
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|
COCO
| 480 | 640 |
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DET
|
000000204805.jpg
|
COCO
| 500 | 346 |
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DET
|
000000113588.jpg
|
COCO
| 425 | 640 |
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DET
|
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|
COCO
| 640 | 425 |
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DET
|
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|
COCO
| 640 | 427 |
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DET
|
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|
COCO
| 640 | 427 |
[
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]
},
{
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]
},
{
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[
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]
},
{
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]
},
{
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]
},
{
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"bboxes": [
[
521.46,
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]
]
}
] |
DET
|
000000012448.jpg
|
COCO
| 427 | 640 |
[
{
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[
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]
]
},
{
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"bboxes": [
[
1.44,
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197.03,
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]
]
}
] |
DET
|
000000079841.jpg
|
COCO
| 640 | 213 |
[
{
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"bboxes": [
[
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],
[
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]
},
{
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},
{
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],
[
521.84,
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]
]
}
] |
DET
|
000000515289.jpg
|
COCO
| 639 | 640 |
[
{
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[
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[
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]
},
{
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[
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[
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},
{
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]
},
{
"category_name": "umbrella",
"bboxes": [
[
556.23,
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]
]
}
] |
DET
|
000000562150.jpg
|
COCO
| 640 | 516 |
[
{
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[
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]
]
},
{
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]
},
{
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"bboxes": [
[
128.49,
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]
]
}
] |
DET
|
000000542145.jpg
|
COCO
| 375 | 500 |
[
{
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[
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],
[
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]
},
{
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]
},
{
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]
},
{
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"bboxes": [
[
138.2,
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329.21,
265.17
]
]
}
] |
DET
|
000000412151.jpg
|
COCO
| 500 | 334 |
[
{
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[
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],
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[
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]
},
{
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[
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]
},
{
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[
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]
},
{
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]
},
{
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"bboxes": [
[
362.33,
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]
]
}
] |
DET
|
000000579003.jpg
|
COCO
| 480 | 640 |
[
{
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[
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]
]
},
{
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[
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]
},
{
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"bboxes": [
[
402.81,
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]
]
}
] |
DET
|
000000540186.jpg
|
COCO
| 621 | 640 |
[
{
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344,
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],
[
307.08,
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328.06,
298.65
]
]
}
] |
DET
|
000000242611.jpg
|
COCO
| 640 | 364 |
[
{
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"bboxes": [
[
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],
[
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]
]
},
{
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]
},
{
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]
},
{
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]
},
{
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"bboxes": [
[
220.8,
188.97,
235.49,
203.27
]
]
}
] |
DET
|
000000051191.jpg
|
COCO
| 628 | 640 |
[
{
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[
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]
]
},
{
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]
]
},
{
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238.05,
322.08
],
[
406.14,
257.21,
471.94,
337.78999999999996
]
]
}
] |
DET
|
000000269105.jpg
|
COCO
| 480 | 640 |
[
{
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[
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]
]
},
{
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"bboxes": [
[
117.58,
491.27,
424.56,
640
]
]
}
] |
DET
|
000000294832.jpg
|
COCO
| 640 | 429 |
[
{
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[
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]
]
},
{
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"bboxes": [
[
93.78,
210.55,
234.77,
221.46
]
]
}
] |
DET
|
000000462565.jpg
|
COCO
| 640 | 427 |
[
{
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"bboxes": [
[
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],
[
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[
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[
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[
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]
},
{
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],
[
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],
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[
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[
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[
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],
[
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]
},
{
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[
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[
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[
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],
[
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]
},
{
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]
},
{
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"bboxes": [
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[
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]
},
{
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"bboxes": [
[
277.31,
170.16,
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225.89
]
]
}
] |
DET
|
000000144941.jpg
|
COCO
| 500 | 334 |
[
{
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[
149.02,
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]
]
},
{
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]
},
{
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"bboxes": [
[
380.33,
158.19,
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218.96
]
]
}
] |
DET
|
000000173350.jpg
|
COCO
| 640 | 480 |
[
{
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"bboxes": [
[
266.67,
0,
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],
[
250.18,
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]
]
},
{
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"bboxes": [
[
106.79,
0,
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217.89
]
]
}
] |
DET
|
000000060760.jpg
|
COCO
| 375 | 500 |
[
{
"category_name": "toilet",
"bboxes": [
[
240.45,
412.36,
375,
494.38
]
]
}
] |
DET
|
000000324266.jpg
|
COCO
| 640 | 425 |
[
{
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"bboxes": [
[
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]
]
},
{
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]
]
},
{
"category_name": "bottle",
"bboxes": [
[
624.07,
214.83,
640,
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]
]
}
] |
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,
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387.57
]
]
}
] |
DET
|
000000111076.jpg
|
COCO
| 640 | 427 |
[
{
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"bboxes": [
[
410.1,
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]
]
},
{
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"bboxes": [
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]
]
},
{
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]
]
},
{
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"bboxes": [
[
561.57,
0.69,
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]
]
}
] |
DET
|
000000340559.jpg
|
COCO
| 428 | 640 |
[
{
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"bboxes": [
[
148.99,
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453.38
],
[
235.87,
467.42,
417.08000000000004,
569.53
]
]
}
] |
DET
|
000000258985.jpg
|
COCO
| 640 | 603 |
[
{
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"bboxes": [
[
378.46,
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]
]
},
{
"category_name": "toilet",
"bboxes": [
[
140.2,
306.94,
337.57,
493.43
]
]
}
] |
DET
|
000000509822.jpg
|
COCO
| 640 | 425 |
[
{
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"bboxes": [
[
94.85,
116.69,
527.15,
372.96999999999997
]
]
}
] |
DET
|
000000321107.jpg
|
COCO
| 269 | 480 |
[
{
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"bboxes": [
[
155.39,
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333.20000000000005
]
]
},
{
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"bboxes": [
[
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],
[
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]
]
},
{
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"bboxes": [
[
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]
},
{
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"bboxes": [
[
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],
[
141.89,
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],
[
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]
},
{
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"bboxes": [
[
72.58,
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]
]
},
{
"category_name": "handbag",
"bboxes": [
[
167.84,
176.45,
209.01,
212.25
]
]
}
] |
DET
|
000000229643.jpg
|
COCO
| 640 | 480 |
[
{
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"bboxes": [
[
125.15,
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]
]
},
{
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"bboxes": [
[
201.84,
252.62,
273.18,
274.65
]
]
}
] |
DET
|
000000125059.jpg
|
COCO
| 480 | 640 |
[
{
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"bboxes": [
[
418.22,
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]
]
},
{
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"bboxes": [
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]
},
{
"category_name": "sink",
"bboxes": [
[
371.83,
378.39,
479.7,
522.21
]
]
}
] |
DET
|
000000455483.jpg
|
COCO
| 640 | 480 |
[
{
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"bboxes": [
[
76.38,
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],
[
275.49,
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]
},
{
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"bboxes": [
[
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]
},
{
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"bboxes": [
[
66.16,
179.86,
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]
]
}
] |
DET
|
000000436141.jpg
|
COCO
| 640 | 480 |
[
{
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"bboxes": [
[
402.34,
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]
]
},
{
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"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,
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],
[
382.08,
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]
},
{
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"bboxes": [
[
0,
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]
]
},
{
"category_name": "cup",
"bboxes": [
[
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]
},
{
"category_name": "toothbrush",
"bboxes": [
[
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[
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[
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],
[
10.9,
383.75,
19.630000000000003,
397.88
]
]
}
] |
DET
|
000000232262.jpg
|
COCO
| 640 | 427 |
[
{
"category_name": "motorcycle",
"bboxes": [
[
28.49,
224.45,
54.09,
257.27
]
]
},
{
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"bboxes": [
[
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]
},
{
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"bboxes": [
[
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[
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] |
DET
|
000000061181.jpg
|
COCO
| 500 | 321 |
[
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[
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] |
DET
|
000000166323.jpg
|
COCO
| 425 | 640 |
[
{
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[
101.45,
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]
]
}
] |
DET
|
000000580041.jpg
|
COCO
| 375 | 500 |
[
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] |
DET
|
000000326781.jpg
|
COCO
| 480 | 640 |
[
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},
{
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[
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]
}
] |
DET
|
000000387362.jpg
|
COCO
| 428 | 640 |
[
{
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]
},
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]
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] |
DET
|
000000138079.jpg
|
COCO
| 480 | 640 |
[
{
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},
{
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]
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] |
DET
|
000000556616.jpg
|
COCO
| 640 | 427 |
[
{
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[
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] |
DET
|
000000472621.jpg
|
COCO
| 640 | 298 |
[
{
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{
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"bboxes": [
[
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]
}
] |
DET
|
000000192440.jpg
|
COCO
| 640 | 426 |
[
{
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},
{
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[
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]
}
] |
DET
|
000000086320.jpg
|
COCO
| 500 | 336 |
[
{
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[
308.06,
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]
]
}
] |
DET
|
000000256668.jpg
|
COCO
| 375 | 500 |
[
{
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"bboxes": [
[
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]
]
}
] |
DET
|
000000383445.jpg
|
COCO
| 640 | 480 |
[
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]
},
{
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[
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]
}
] |
DET
|
000000565797.jpg
|
COCO
| 640 | 454 |
[
{
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]
},
{
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[
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]
}
] |
DET
|
000000081922.jpg
|
COCO
| 640 | 426 |
[
{
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{
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"bboxes": [
[
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]
}
] |
DET
|
000000050125.jpg
|
COCO
| 640 | 413 |
[
{
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},
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[
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]
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] |
DET
|
000000364521.jpg
|
COCO
| 640 | 426 |
[
{
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[
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]
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] |
DET
|
000000394892.jpg
|
COCO
| 640 | 427 |
[
{
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[
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},
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},
{
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"bboxes": [
[
241.95,
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]
}
] |
DET
|
000000001146.jpg
|
COCO
| 427 | 640 |
[
{
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[
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]
},
{
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"bboxes": [
[
0,
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]
}
] |
DET
|
000000310391.jpg
|
COCO
| 640 | 360 |
[
{
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"bboxes": [
[
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[
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{
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},
{
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"bboxes": [
[
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]
}
] |
DET
|
000000097434.jpg
|
COCO
| 640 | 266 |
[
{
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[
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},
{
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{
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"bboxes": [
[
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]
}
] |
DET
|
000000463836.jpg
|
COCO
| 640 | 480 |
[
{
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},
{
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},
{
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[
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]
}
] |
DET
|
000000241876.jpg
|
COCO
| 500 | 375 |
[
{
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[
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]
},
{
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"bboxes": [
[
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]
}
] |
DET
|
000000156832.jpg
|
COCO
| 480 | 640 |
[
{
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[
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},
{
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"bboxes": [
[
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]
}
] |
DET
|
000000270721.jpg
|
COCO
| 640 | 480 |
[
{
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[
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},
{
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"bboxes": [
[
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]
}
] |
DET
|
000000462341.jpg
|
COCO
| 427 | 640 |
[
{
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"bboxes": [
[
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[
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},
{
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"bboxes": [
[
226.33,
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]
}
] |
DET
|
000000310103.jpg
|
COCO
| 640 | 480 |
[
{
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"bboxes": [
[
131.89,
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[
536.75,
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]
]
}
] |
DET
|
000000032992.jpg
|
COCO
| 640 | 427 |
[
{
"category_name": "vase",
"bboxes": [
[
0,
6.96,
640,
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]
]
}
] |
DET
|
000000122851.jpg
|
COCO
| 640 | 427 |
[
{
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},
{
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{
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127.62,
365.08,
208.22,
426.49
],
[
465.18,
255.51,
534.86,
320.37
],
[
333.19,
282.44,
544.95,
427
],
[
196.99,
297.28,
372.81,
427
],
[
515.18,
293.5,
640,
426.40999999999997
],
[
128,
303.57,
205.67000000000002,
365.36
],
[
96.88,
348.72,
130.2,
377.37
],
[
280.18,
239.56,
321.37,
298.06
]
]
},
{
"category_name": "truck",
"bboxes": [
[
2.22,
1.88,
42.15,
283.59
]
]
}
] |
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",
"bboxes": [
[
334.9,
211.24,
368.13,
283.98
]
]
}
] |
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,
404.82000000000005,
537.55
],
[
325.6,
427.31,
333.19,
439.55
],
[
313.94,
425.85,
325.52,
437.59000000000003
],
[
331.86,
428.66,
337.08000000000004,
438.57000000000005
],
[
362.72,
427.6,
369.34000000000003,
447.84000000000003
],
[
400.31,
432.16,
409.07,
452.20000000000005
],
[
407.58,
427.54,
416.94,
452.54
],
[
421.71,
426.18,
426.69,
448.67
],
[
31.17,
421.22,
66.69,
513.74
],
[
192.85,
412.34,
210.23,
439.2
],
[
167.08,
418.83,
178.32000000000002,
428.9
],
[
43.72,
420.18,
50.22,
436.5
],
[
339.51,
424.6,
343.4,
430.93
],
[
0,
415,
427,
456
]
]
}
] |
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
]
]
},
{
"category_name": "car",
"bboxes": [
[
507.28,
1.84,
640,
80.16
],
[
469.03,
0,
509.34999999999997,
27.97
]
]
},
{
"category_name": "toilet",
"bboxes": [
[
218.48,
125.49,
418.65,
326.74
]
]
}
] |
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,
192.49,
107.42
],
[
236.15,
67.25,
290.44,
135.99
],
[
272.68,
71.11,
306.32,
113.25999999999999
],
[
269.84,
75.13,
276.77,
96.25
],
[
361.41,
57.75,
375,
179.15
],
[
9.04,
102.1,
32.84,
137.89
],
[
0.31,
104.4,
21.66,
170.39
],
[
105.37,
93.69,
120.63000000000001,
109.11
]
]
}
] |
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,
314.88,
283.72,
325.18
],
[
284.22,
314.22,
288.23,
325.71000000000004
],
[
272.49,
313.22,
275.72,
325.15000000000003
]
]
}
] |
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",
"bboxes": [
[
0,
215.34,
572.24,
420.14
]
]
},
{
"category_name": "person",
"bboxes": [
[
214.44,
184.52,
437.19,
551.9
],
[
458.29,
223.23,
495.59000000000003,
260.53999999999996
]
]
}
] |
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,
355.38,
220.57
],
[
18.54,
140.44,
41.769999999999996,
205.28
]
]
},
{
"category_name": "handbag",
"bboxes": [
[
33.05,
151.42,
41.73,
172.07999999999998
]
]
}
] |
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
]
]
},
{
"category_name": "chair",
"bboxes": [
[
494.46,
232.15,
630.65,
420.43
],
[
486.71,
125.31,
640,
299.8
],
[
266.46,
138.2,
286.03,
190.06
]
]
},
{
"category_name": "person",
"bboxes": [
[
209.16,
166.85,
523.37,
418.98
],
[
400.28,
8.65,
483,
250.15
],
[
242.17,
74.18,
334.07,
179.48000000000002
],
[
494.6,
77.19,
601.28,
208.2
]
]
},
{
"category_name": "laptop",
"bboxes": [
[
82.8,
250.33,
292.59,
425
]
]
},
{
"category_name": "mouse",
"bboxes": [
[
258.45,
309.22,
292.33,
321.14000000000004
]
]
},
{
"category_name": "keyboard",
"bboxes": [
[
252.13,
227.3,
299.89,
293.20000000000005
],
[
172.31,
342.31,
251.7,
425
]
]
},
{
"category_name": "remote",
"bboxes": [
[
172.13,
282.57,
201.95999999999998,
315.32
]
]
}
] |
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": "motorcycle",
"bboxes": [
[
122.22,
74.05,
555.8,
391.65000000000003
]
]
},
{
"category_name": "person",
"bboxes": [
[
283.45,
44.61,
490.90999999999997,
392.94
],
[
252.2,
72.96,
301.09999999999997,
131.20999999999998
],
[
590.15,
229.8,
623.17,
260.7
],
[
73.34,
144.84,
102.82000000000001,
163.61
]
]
},
{
"category_name": "traffic light",
"bboxes": [
[
410.05,
38.65,
425.05,
61.25
],
[
197.16,
45.5,
215.9,
96.35
],
[
513.21,
38.97,
522.72,
62.91
],
[
417.8,
31.89,
428.7,
57.32
],
[
256.33,
0,
273.18,
7.78
],
[
584.83,
86.3,
594.94,
110.84
]
]
},
{
"category_name": "backpack",
"bboxes": [
[
219.63,
114.15,
297.68,
223.66000000000003
]
]
},
{
"category_name": "truck",
"bboxes": [
[
538.85,
221.47,
640,
329.42
]
]
}
] |
End of preview.
Griffon-G-CCMD-8M Dataset Card
News
** [2025/08/12] ** We are glad to release the data of the Griffon-G CCMD-8M.
** [2025/08/10] ** We are happy to announce that Griffon v2 is accepted to ICCV 2025.
Dataset details
We provide the training data for Stage 2: Paradigm Pre-Adaptation Pre-training and Stage 3: Comprehensive Instruction Tuning. For the Stage 1 Alignment, please follow the official guideline of ShareGPT-4V. We prodive the stage 2 data in the pretrain folder and stage 3 data in the SFT folder. For the alignment of the annotations and the images, please refer to the Github Repo.
Pretrain Data
After downloading the repo, please download the images from the open-source data. The source images include: Object365-2023, COCO(train2017 & train2014), V3Det, Visual Genemo, Flickrs30K Entities.
Instruction Tuning Data
We provide the visual tokenizer training data with both images and annotations. For the others, we provide the processed annotations, and please download the images from the source datasets. As the general instruction data contains millions of images from different sources, we list them below. When the quota is ready, we will provide the used images directly. If any potential image is missing, please contact us and we can provide the missing ones.
general_instructions.json: ai2d, allava_laion, allava_vflan, a-okvqa, ChartQA, docvqa, DUE_Benchmark, dvqa, gqa, infoQA, llava_pretrain, ocr_vqa, scienceqa, sam, sharegpt4v, share_textvqa, synthdog-en, textvqa, visual genome, VisualMRC, vizwiz, web-celebrity, web-landmark, and wikiart.CT-datasetv2.tar.gz: contains both the images and annotations.- Other annotations: the same as pretrain data images.
License
Attribution-NonCommercial 4.0 International. It should abide by the policy of the original data sources.
Citation
To use this data, please cite
@article{zhan2024griffon-G,
title={Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models},
author={Zhan, Yufei and Zhao, Hongyin and Zhu, Yousong and Yang, Fan and Tang, Ming and Wang, Jinqiao},
journal={arXiv preprint arXiv:2410.16163},
year={2024}
}
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