Dataset Preview
Full Screen Viewer
Full Screen
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 1 new columns ({'class'}) and 3 missing columns ({'objB', 'relation', 'objA'}).
This happened while the json dataset builder was generating data using
hf://datasets/j-min/layoutbench-coco/count_layouts_2_4.json (at revision 8d7ab6c1a3f948e3ebe8cc7d40f435a7573e7eb7)
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 1869, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
file_name: string
id: int64
count: int64
class: string
boxes_normalized: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
box_captions: list<item: string>
child 0, item: string
box_ids: list<item: int64>
child 0, item: int64
caption: string
split: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1181
to
{'file_name': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'count': Value(dtype='int64', id=None), 'objA': Value(dtype='string', id=None), 'objB': Value(dtype='string', id=None), 'boxes_normalized': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'box_captions': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'box_ids': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'caption': Value(dtype='string', id=None), 'relation': Value(dtype='string', id=None), 'split': Value(dtype='string', id=None)}
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 1392, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1041, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, 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 1871, 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 1 new columns ({'class'}) and 3 missing columns ({'objB', 'relation', 'objA'}).
This happened while the json dataset builder was generating data using
hf://datasets/j-min/layoutbench-coco/count_layouts_2_4.json (at revision 8d7ab6c1a3f948e3ebe8cc7d40f435a7573e7eb7)
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.
file_name
string | id
int64 | count
int64 | objA
string | objB
string | boxes_normalized
sequence | box_captions
sequence | box_ids
sequence | caption
string | relation
string | split
string |
|---|---|---|---|---|---|---|---|---|---|---|
combination_common_holding_person_vase_iter0.png | 1,760 | 2 | person | vase | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"vase"
] | [
7120,
7121
] | person is holding vase | holding | common |
combination_common_holding_person_vase_iter1.png | 1,761 | 2 | person | vase | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"vase"
] | [
7122,
7123
] | person is holding vase | holding | common |
combination_common_holding_person_vase_iter2.png | 1,762 | 2 | person | vase | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"vase"
] | [
7124,
7125
] | person is holding vase | holding | common |
combination_common_holding_person_baseball glove_iter0.png | 1,763 | 2 | person | baseball glove | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"baseball glove"
] | [
7126,
7127
] | person is holding baseball glove | holding | common |
combination_common_holding_person_baseball glove_iter1.png | 1,764 | 2 | person | baseball glove | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"baseball glove"
] | [
7128,
7129
] | person is holding baseball glove | holding | common |
combination_common_holding_person_baseball glove_iter2.png | 1,765 | 2 | person | baseball glove | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"baseball glove"
] | [
7130,
7131
] | person is holding baseball glove | holding | common |
combination_common_holding_person_handbag_iter0.png | 1,766 | 2 | person | handbag | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"handbag"
] | [
7132,
7133
] | person is holding handbag | holding | common |
combination_common_holding_person_handbag_iter1.png | 1,767 | 2 | person | handbag | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"handbag"
] | [
7134,
7135
] | person is holding handbag | holding | common |
combination_common_holding_person_handbag_iter2.png | 1,768 | 2 | person | handbag | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"handbag"
] | [
7136,
7137
] | person is holding handbag | holding | common |
combination_common_holding_person_banana_iter0.png | 1,769 | 2 | person | banana | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"banana"
] | [
7138,
7139
] | person is holding banana | holding | common |
combination_common_holding_person_banana_iter1.png | 1,770 | 2 | person | banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"banana"
] | [
7140,
7141
] | person is holding banana | holding | common |
combination_common_holding_person_banana_iter2.png | 1,771 | 2 | person | banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"banana"
] | [
7142,
7143
] | person is holding banana | holding | common |
combination_common_holding_elephant_banana_iter0.png | 1,772 | 2 | elephant | banana | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"elephant",
"banana"
] | [
7144,
7145
] | elephant is holding banana | holding | common |
combination_common_holding_elephant_banana_iter1.png | 1,773 | 2 | elephant | banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"elephant",
"banana"
] | [
7146,
7147
] | elephant is holding banana | holding | common |
combination_common_holding_elephant_banana_iter2.png | 1,774 | 2 | elephant | banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"elephant",
"banana"
] | [
7148,
7149
] | elephant is holding banana | holding | common |
combination_common_holding_cat_mouse_iter0.png | 1,775 | 2 | cat | mouse | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"cat",
"mouse"
] | [
7150,
7151
] | cat is holding mouse | holding | common |
combination_common_holding_cat_mouse_iter1.png | 1,776 | 2 | cat | mouse | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"cat",
"mouse"
] | [
7152,
7153
] | cat is holding mouse | holding | common |
combination_common_holding_cat_mouse_iter2.png | 1,777 | 2 | cat | mouse | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"cat",
"mouse"
] | [
7154,
7155
] | cat is holding mouse | holding | common |
combination_common_holding_person_bowl_iter0.png | 1,778 | 2 | person | bowl | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"bowl"
] | [
7156,
7157
] | person is holding bowl | holding | common |
combination_common_holding_person_bowl_iter1.png | 1,779 | 2 | person | bowl | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"bowl"
] | [
7158,
7159
] | person is holding bowl | holding | common |
combination_common_holding_person_bowl_iter2.png | 1,780 | 2 | person | bowl | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"bowl"
] | [
7160,
7161
] | person is holding bowl | holding | common |
combination_common_holding_person_dog_iter0.png | 1,781 | 2 | person | dog | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"dog"
] | [
7162,
7163
] | person is holding dog | holding | common |
combination_common_holding_person_dog_iter1.png | 1,782 | 2 | person | dog | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"dog"
] | [
7164,
7165
] | person is holding dog | holding | common |
combination_common_holding_person_dog_iter2.png | 1,783 | 2 | person | dog | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"dog"
] | [
7166,
7167
] | person is holding dog | holding | common |
combination_common_holding_person_tennis racket_iter0.png | 1,784 | 2 | person | tennis racket | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"tennis racket"
] | [
7168,
7169
] | person is holding tennis racket | holding | common |
combination_common_holding_person_tennis racket_iter1.png | 1,785 | 2 | person | tennis racket | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"tennis racket"
] | [
7170,
7171
] | person is holding tennis racket | holding | common |
combination_common_holding_person_tennis racket_iter2.png | 1,786 | 2 | person | tennis racket | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"tennis racket"
] | [
7172,
7173
] | person is holding tennis racket | holding | common |
combination_common_holding_person_cat_iter0.png | 1,787 | 2 | person | cat | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"cat"
] | [
7174,
7175
] | person is holding cat | holding | common |
combination_common_holding_person_cat_iter1.png | 1,788 | 2 | person | cat | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"cat"
] | [
7176,
7177
] | person is holding cat | holding | common |
combination_common_holding_person_cat_iter2.png | 1,789 | 2 | person | cat | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"cat"
] | [
7178,
7179
] | person is holding cat | holding | common |
combination_common_holding_person_umbrella_iter0.png | 1,790 | 2 | person | umbrella | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"umbrella"
] | [
7180,
7181
] | person is holding umbrella | holding | common |
combination_common_holding_person_umbrella_iter1.png | 1,791 | 2 | person | umbrella | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"umbrella"
] | [
7182,
7183
] | person is holding umbrella | holding | common |
combination_common_holding_person_umbrella_iter2.png | 1,792 | 2 | person | umbrella | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"umbrella"
] | [
7184,
7185
] | person is holding umbrella | holding | common |
combination_common_holding_dog_sports ball_iter0.png | 1,793 | 2 | dog | sports ball | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"dog",
"sports ball"
] | [
7186,
7187
] | dog is holding sports ball | holding | common |
combination_common_holding_dog_sports ball_iter1.png | 1,794 | 2 | dog | sports ball | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"dog",
"sports ball"
] | [
7188,
7189
] | dog is holding sports ball | holding | common |
combination_common_holding_dog_sports ball_iter2.png | 1,795 | 2 | dog | sports ball | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"dog",
"sports ball"
] | [
7190,
7191
] | dog is holding sports ball | holding | common |
combination_common_holding_person_tie_iter0.png | 1,796 | 2 | person | tie | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"tie"
] | [
7192,
7193
] | person is holding tie | holding | common |
combination_common_holding_person_tie_iter1.png | 1,797 | 2 | person | tie | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"tie"
] | [
7194,
7195
] | person is holding tie | holding | common |
combination_common_holding_person_tie_iter2.png | 1,798 | 2 | person | tie | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"tie"
] | [
7196,
7197
] | person is holding tie | holding | common |
combination_common_holding_handbag_cell phone_iter0.png | 1,799 | 2 | handbag | cell phone | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"handbag",
"cell phone"
] | [
7198,
7199
] | handbag is holding cell phone | holding | common |
combination_common_holding_handbag_cell phone_iter1.png | 1,800 | 2 | handbag | cell phone | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"handbag",
"cell phone"
] | [
7200,
7201
] | handbag is holding cell phone | holding | common |
combination_common_holding_handbag_cell phone_iter2.png | 1,801 | 2 | handbag | cell phone | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"handbag",
"cell phone"
] | [
7202,
7203
] | handbag is holding cell phone | holding | common |
combination_common_holding_person_wine glass_iter0.png | 1,802 | 2 | person | wine glass | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"wine glass"
] | [
7204,
7205
] | person is holding wine glass | holding | common |
combination_common_holding_person_wine glass_iter1.png | 1,803 | 2 | person | wine glass | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"wine glass"
] | [
7206,
7207
] | person is holding wine glass | holding | common |
combination_common_holding_person_wine glass_iter2.png | 1,804 | 2 | person | wine glass | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"wine glass"
] | [
7208,
7209
] | person is holding wine glass | holding | common |
combination_common_holding_backpack_bottle_iter0.png | 1,805 | 2 | backpack | bottle | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"backpack",
"bottle"
] | [
7210,
7211
] | backpack is holding bottle | holding | common |
combination_common_holding_backpack_bottle_iter1.png | 1,806 | 2 | backpack | bottle | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"backpack",
"bottle"
] | [
7212,
7213
] | backpack is holding bottle | holding | common |
combination_common_holding_backpack_bottle_iter2.png | 1,807 | 2 | backpack | bottle | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"backpack",
"bottle"
] | [
7214,
7215
] | backpack is holding bottle | holding | common |
combination_common_holding_person_cup_iter0.png | 1,808 | 2 | person | cup | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"cup"
] | [
7216,
7217
] | person is holding cup | holding | common |
combination_common_holding_person_cup_iter1.png | 1,809 | 2 | person | cup | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"cup"
] | [
7218,
7219
] | person is holding cup | holding | common |
combination_common_holding_person_cup_iter2.png | 1,810 | 2 | person | cup | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"cup"
] | [
7220,
7221
] | person is holding cup | holding | common |
combination_common_holding_suitcase_laptop_iter0.png | 1,811 | 2 | suitcase | laptop | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"suitcase",
"laptop"
] | [
7222,
7223
] | suitcase is holding laptop | holding | common |
combination_common_holding_suitcase_laptop_iter1.png | 1,812 | 2 | suitcase | laptop | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"suitcase",
"laptop"
] | [
7224,
7225
] | suitcase is holding laptop | holding | common |
combination_common_holding_suitcase_laptop_iter2.png | 1,813 | 2 | suitcase | laptop | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"suitcase",
"laptop"
] | [
7226,
7227
] | suitcase is holding laptop | holding | common |
combination_common_holding_person_surfboard_iter0.png | 1,814 | 2 | person | surfboard | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"person",
"surfboard"
] | [
7228,
7229
] | person is holding surfboard | holding | common |
combination_common_holding_person_surfboard_iter1.png | 1,815 | 2 | person | surfboard | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"person",
"surfboard"
] | [
7230,
7231
] | person is holding surfboard | holding | common |
combination_common_holding_person_surfboard_iter2.png | 1,816 | 2 | person | surfboard | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"person",
"surfboard"
] | [
7232,
7233
] | person is holding surfboard | holding | common |
combination_common_holding_backpack_book_iter0.png | 1,817 | 2 | backpack | book | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.48242187500000006
]
] | [
"backpack",
"book"
] | [
7234,
7235
] | backpack is holding book | holding | common |
combination_common_holding_backpack_book_iter1.png | 1,818 | 2 | backpack | book | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | [
"backpack",
"book"
] | [
7236,
7237
] | backpack is holding book | holding | common |
combination_common_holding_backpack_book_iter2.png | 1,819 | 2 | backpack | book | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | [
"backpack",
"book"
] | [
7238,
7239
] | backpack is holding book | holding | common |
combination_common_next to_person_bicycle_iter0.png | 1,820 | 2 | person | bicycle | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"person",
"bicycle"
] | [
7240,
7241
] | person is next to bicycle | next to | common |
combination_common_next to_person_bicycle_iter1.png | 1,821 | 2 | person | bicycle | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"person",
"bicycle"
] | [
7242,
7243
] | person is next to bicycle | next to | common |
combination_common_next to_person_bicycle_iter2.png | 1,822 | 2 | person | bicycle | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"person",
"bicycle"
] | [
7244,
7245
] | person is next to bicycle | next to | common |
combination_common_next to_car_motorcycle_iter0.png | 1,823 | 2 | car | motorcycle | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"car",
"motorcycle"
] | [
7246,
7247
] | car is next to motorcycle | next to | common |
combination_common_next to_car_motorcycle_iter1.png | 1,824 | 2 | car | motorcycle | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"car",
"motorcycle"
] | [
7248,
7249
] | car is next to motorcycle | next to | common |
combination_common_next to_car_motorcycle_iter2.png | 1,825 | 2 | car | motorcycle | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"car",
"motorcycle"
] | [
7250,
7251
] | car is next to motorcycle | next to | common |
combination_common_next to_bus_train_iter0.png | 1,826 | 2 | bus | train | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"bus",
"train"
] | [
7252,
7253
] | bus is next to train | next to | common |
combination_common_next to_bus_train_iter1.png | 1,827 | 2 | bus | train | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"bus",
"train"
] | [
7254,
7255
] | bus is next to train | next to | common |
combination_common_next to_bus_train_iter2.png | 1,828 | 2 | bus | train | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"bus",
"train"
] | [
7256,
7257
] | bus is next to train | next to | common |
combination_common_next to_truck_boat_iter0.png | 1,829 | 2 | truck | boat | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"truck",
"boat"
] | [
7258,
7259
] | truck is next to boat | next to | common |
combination_common_next to_truck_boat_iter1.png | 1,830 | 2 | truck | boat | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"truck",
"boat"
] | [
7260,
7261
] | truck is next to boat | next to | common |
combination_common_next to_truck_boat_iter2.png | 1,831 | 2 | truck | boat | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"truck",
"boat"
] | [
7262,
7263
] | truck is next to boat | next to | common |
combination_common_next to_traffic light_fire hydrant_iter0.png | 1,832 | 2 | traffic light | fire hydrant | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"traffic light",
"fire hydrant"
] | [
7264,
7265
] | traffic light is next to fire hydrant | next to | common |
combination_common_next to_traffic light_fire hydrant_iter1.png | 1,833 | 2 | traffic light | fire hydrant | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"traffic light",
"fire hydrant"
] | [
7266,
7267
] | traffic light is next to fire hydrant | next to | common |
combination_common_next to_traffic light_fire hydrant_iter2.png | 1,834 | 2 | traffic light | fire hydrant | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"traffic light",
"fire hydrant"
] | [
7268,
7269
] | traffic light is next to fire hydrant | next to | common |
combination_common_next to_stop sign_parking meter_iter0.png | 1,835 | 2 | stop sign | parking meter | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"stop sign",
"parking meter"
] | [
7270,
7271
] | stop sign is next to parking meter | next to | common |
combination_common_next to_stop sign_parking meter_iter1.png | 1,836 | 2 | stop sign | parking meter | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"stop sign",
"parking meter"
] | [
7272,
7273
] | stop sign is next to parking meter | next to | common |
combination_common_next to_stop sign_parking meter_iter2.png | 1,837 | 2 | stop sign | parking meter | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"stop sign",
"parking meter"
] | [
7274,
7275
] | stop sign is next to parking meter | next to | common |
combination_common_next to_bench_fire hydrant_iter0.png | 1,838 | 2 | bench | fire hydrant | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"bench",
"fire hydrant"
] | [
7276,
7277
] | bench is next to fire hydrant | next to | common |
combination_common_next to_bench_fire hydrant_iter1.png | 1,839 | 2 | bench | fire hydrant | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"bench",
"fire hydrant"
] | [
7278,
7279
] | bench is next to fire hydrant | next to | common |
combination_common_next to_bench_fire hydrant_iter2.png | 1,840 | 2 | bench | fire hydrant | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"bench",
"fire hydrant"
] | [
7280,
7281
] | bench is next to fire hydrant | next to | common |
combination_common_next to_bird_cat_iter0.png | 1,841 | 2 | bird | cat | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"bird",
"cat"
] | [
7282,
7283
] | bird is next to cat | next to | common |
combination_common_next to_bird_cat_iter1.png | 1,842 | 2 | bird | cat | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"bird",
"cat"
] | [
7284,
7285
] | bird is next to cat | next to | common |
combination_common_next to_bird_cat_iter2.png | 1,843 | 2 | bird | cat | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"bird",
"cat"
] | [
7286,
7287
] | bird is next to cat | next to | common |
combination_common_next to_dog_horse_iter0.png | 1,844 | 2 | dog | horse | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"dog",
"horse"
] | [
7288,
7289
] | dog is next to horse | next to | common |
combination_common_next to_dog_horse_iter1.png | 1,845 | 2 | dog | horse | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"dog",
"horse"
] | [
7290,
7291
] | dog is next to horse | next to | common |
combination_common_next to_dog_horse_iter2.png | 1,846 | 2 | dog | horse | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"dog",
"horse"
] | [
7292,
7293
] | dog is next to horse | next to | common |
combination_common_next to_sheep_cow_iter0.png | 1,847 | 2 | sheep | cow | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"sheep",
"cow"
] | [
7294,
7295
] | sheep is next to cow | next to | common |
combination_common_next to_sheep_cow_iter1.png | 1,848 | 2 | sheep | cow | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"sheep",
"cow"
] | [
7296,
7297
] | sheep is next to cow | next to | common |
combination_common_next to_sheep_cow_iter2.png | 1,849 | 2 | sheep | cow | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"sheep",
"cow"
] | [
7298,
7299
] | sheep is next to cow | next to | common |
combination_common_next to_elephant_zebra_iter0.png | 1,850 | 2 | elephant | zebra | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"elephant",
"zebra"
] | [
7300,
7301
] | elephant is next to zebra | next to | common |
combination_common_next to_elephant_zebra_iter1.png | 1,851 | 2 | elephant | zebra | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"elephant",
"zebra"
] | [
7302,
7303
] | elephant is next to zebra | next to | common |
combination_common_next to_elephant_zebra_iter2.png | 1,852 | 2 | elephant | zebra | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"elephant",
"zebra"
] | [
7304,
7305
] | elephant is next to zebra | next to | common |
combination_common_next to_giraffe_zebra_iter0.png | 1,853 | 2 | giraffe | zebra | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"giraffe",
"zebra"
] | [
7306,
7307
] | giraffe is next to zebra | next to | common |
combination_common_next to_giraffe_zebra_iter1.png | 1,854 | 2 | giraffe | zebra | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"giraffe",
"zebra"
] | [
7308,
7309
] | giraffe is next to zebra | next to | common |
combination_common_next to_giraffe_zebra_iter2.png | 1,855 | 2 | giraffe | zebra | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"giraffe",
"zebra"
] | [
7310,
7311
] | giraffe is next to zebra | next to | common |
combination_common_next to_backpack_umbrella_iter0.png | 1,856 | 2 | backpack | umbrella | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"backpack",
"umbrella"
] | [
7312,
7313
] | backpack is next to umbrella | next to | common |
combination_common_next to_backpack_umbrella_iter1.png | 1,857 | 2 | backpack | umbrella | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.23632812500000003,
0.44921875,
0.697265625
]
] | [
"backpack",
"umbrella"
] | [
7314,
7315
] | backpack is next to umbrella | next to | common |
combination_common_next to_backpack_umbrella_iter2.png | 1,858 | 2 | backpack | umbrella | [
[
0.53125,
0.4453125,
0.9824218750000001,
0.9160156250000001
],
[
0.11914062500000001,
0.580078125,
0.435546875,
0.875
]
] | [
"backpack",
"umbrella"
] | [
7316,
7317
] | backpack is next to umbrella | next to | common |
combination_common_next to_wine glass_bottle_iter0.png | 1,859 | 2 | wine glass | bottle | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | [
"wine glass",
"bottle"
] | [
7318,
7319
] | wine glass is next to bottle | next to | common |
End of preview.
LayoutBench-COCO
Release of LayoutBench-COCO dataset from Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation (CVPR 2024 Workshop)
See also LayoutBench for fine-grained evaluation on OOD layouts with CLEVR objects.
[Project Page] [Paper]
Authors: Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal
Examples layout inputs in 4 skills
Summary
LayoutBench-COCO is a diagnostic benchmark that examines layout-guided image generation models on arbitrary, unseen layouts. Unlike LayoutBench, LayoutBench-COCO consists of OOD layouts of real objects and suports zero-shot evaluation. LayoutBench-COCO measures 4 skills (Number, Position, Size, Combination), whose objects are from MS COCO. The new 'combination’ split consists of layouts with two objects in different spatial relations, and the remaining three splits are similar to those of LayoutBench.
Skill Details
Skill 1: Number.
We define two layouts for 2∼10 objects and use 40 COCO objects, resulting in 720 total layouts (= 2×9×40). We name the layouts with 2∼4 and 8∼10 objects as few and many splits. The layouts are paired with captions with a template “a photo of [N] [objects]”.
Skill 2: Position.
For each of boundary and center splits, we define four layouts with 40 COCO objects, resulting in 320 total layouts (= 2 × 4 × 40). The layouts are paired with captions with a template “a photo of [N] [objects]”.
Skill 3: Size.
For each of tiny and large splits, we define nine layouts with 40 COCO objects, resulting in 720 total layouts (= 9×2×40). The layouts are paired with captions with a template “a photo of [N] [objects]”.
Skill 4: Combination.
This skill measures whether a model can generate two objects that commonly or uncommonly appear in the real world. For each of the three spatial relations (holding, next to, sitting on), we define three layouts without specifying objects. For each of the three relations, we manually define 20 object pairs of COCO objects for common and uncommon splits. For example, (1) ‘person sitting on chair’ is more common than (2) ‘elephant sitting on banana’ in real life. This results in 360 total layouts (= 2×3×3×20). The layouts are paired with captions with a template “[objA] [relation] [objB]”.
Use of LayoutBench-COCO
Step 1. Download LayoutBench-COCO and Generate Images from Layouts
Please see Step 1 README for instructions on downloading LayoutBench-COCO and generating images from layouts.
Step 2. Run Evaluation
Please see Step 2 README for instructions on running evaluation on LayoutBench-COCO.
Citation
@inproceedings{Cho2024LayoutBench,
author = {Jaemin Cho and Linjie Li and Zhengyuan Yang and Zhe Gan and Lijuan Wang and Mohit Bansal},
title = {Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation},
booktitle = {The First Workshop on the Evaluation of Generative Foundation Models},
year = {2024},
}
- Downloads last month
- 78