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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 130, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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jpg
image
__key__
string
__url__
string
flowers102/jpg/image_07540
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04784
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04220
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00687
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06569
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01265
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02750
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01367
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03156
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01783
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00724
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07424
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06762
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00070
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07575
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00319
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06389
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07399
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02011
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01666
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05005
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02003
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02328
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03527
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04156
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07576
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04470
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00183
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01540
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01536
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05225
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07840
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02027
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02911
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06417
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03867
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05296
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05006
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03784
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06869
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04197
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03585
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06656
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01900
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02839
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01388
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05957
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07410
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07102
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00721
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02772
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00291
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06744
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03791
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00602
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07926
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06060
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05842
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02400
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00309
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01315
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05081
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01734
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05817
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06520
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00486
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06386
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01873
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04953
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02025
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06242
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07415
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07867
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_00335
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01227
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04549
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03297
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02433
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05446
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06840
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06939
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04698
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07971
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01739
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_06183
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05007
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07037
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02756
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_08115
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04886
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01333
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_02709
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05349
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04916
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_05760
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_07518
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04141
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_04386
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_03928
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
flowers102/jpg/image_01659
hf://datasets/SEU-VIPGroup/FG-BMK-image-Flowers102@940d3423198b566947db9a42b41fa8bdd2df3276/flowers102.tar
End of preview.

FG-BMK Image Archive: Oxford 102 Flowers

This repository stores the Oxford 102 Flowers image archive used by FG-BMK. It is a companion repository for SEU-VIPGroup/FG-BMK, which contains the benchmark metadata, questions, splits, and evaluation code.

Files

  • flowers102.tar: image archive for the Oxford 102 Flowers subset.

Use with FG-BMK

  1. Download flowers102.tar.
  2. Extract it to a local data directory.
  3. Use SEU-VIPGroup/FG-BMK for the corresponding question files, class lists, train/test splits, and evaluation scripts.
  4. Point the FG-BMK evaluation scripts to the extracted image folder.

Citation

@article{yu2026fgbmk,
  title   = {Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: From Evaluation to Diagnosis},
  author  = {Yu, Hong-Tao and Xie, Chen-Wei and Peng, Yuxin and Belongie, Serge and Wei, Xiu-Shen},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year    = {2026}
}

License and Data Terms

This archive is provided for FG-BMK evaluation. Users must follow the license and usage terms of the original Oxford 102 Flowers dataset as well as the FG-BMK project terms.

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