Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models
Paper
• 2410.16163 • Published
• 1
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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.
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}
}
- Downloads last month
- 46