Datasets:

License:
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    BadZipFile
Message:      zipfiles that span multiple disks are not supported
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1215, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1190, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 655, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      data_files=data_files,
                      ^^^^^^^^^^^^^^^^^^^^^^
                      path=self.name,
                      ^^^^^^^^^^^^^^^
                      download_config=self.download_config,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 309, in infer_module_for_data_files
                  split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 253, in infer_module_for_data_files_list
                  return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 280, in infer_module_for_data_files_list_in_archives
                  f.split("::")[0] for f in xglob(extracted, recursive=True, download_config=download_config)
                                            ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1057, in xglob
                  fs, *_ = url_to_fs(urlpath, **storage_options)
                           ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/core.py", line 408, in url_to_fs
                  fs = filesystem(protocol, **inkwargs)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 303, in filesystem
                  return cls(**storage_options)
                File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 81, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/fsspec/implementations/zip.py", line 62, in __init__
                  self.zip = zipfile.ZipFile(
                             ~~~~~~~~~~~~~~~^
                      self.fo,
                      ^^^^^^^^
                  ...<3 lines>...
                      compresslevel=compresslevel,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1472, in __init__
                  self._RealGetContents()
                  ~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1535, in _RealGetContents
                  endrec = _EndRecData(fp)
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 375, in _EndRecData
                  return _EndRecData64(fpin, filesize - sizeEndCentDir, endrec)
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 303, in _EndRecData64
                  raise BadZipFile("zipfiles that span multiple disks are not supported")
              zipfile.BadZipFile: zipfiles that span multiple disks are not supported

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.

Industrial Plenoptic Dataset (IPD)

To download the data and extract it into BOP format simply execute:

export SRC=https://huggingface.co/datasets/bop-benchmark
wget $SRC/ipd/resolve/main/ipd_base.zip         # Base archive with camera parameters, etc
wget $SRC/ipd/resolve/main/ipd_models.zip       # 3D object models
wget $SRC/ipd/resolve/main/ipd_val.zip          # Validation images
wget $SRC/ipd/resolve/main/ipd_test_all.zip     # All test images part 1 
wget $SRC/ipd/resolve/main/ipd_test_all.z01     # All test  images part 2
wget $SRC/ipd/resolve/main/ipd_train_pbr.zip    # PBR training images part 1
wget $SRC/ipd/resolve/main/ipd_train_pbr.z01    # PBR training images part 2
wget $SRC/ipd/resolve/main/ipd_train_pbr.z02    # PBR training images part 3
wget $SRC/ipd/resolve/main/ipd_train_pbr.z03    # PBR training images part 4

7z x ipd_base.zip             # Contains folder "ipd"
7z x ipd_models.zip -oipd     # Unpacks to "ipd"
7z x ipd_val.zip -oipd        # Unpacks to "ipd"
7z x ipd_test_all.zip -oipd   # Unpacks to "ipd"
7z x ipd_train_pbr.zip -oipd  # Unpacks to "ipd"

If you downloaded the ipd_train_pbr files before March 20, please also download and unzip ipd_train_pbr_patch.zip!

Dataset parameters

  • Objects: 10
  • Object models: Mesh models
  • Modalities: Three cameras are placed in each scene. Image, depth, angle of linear polarization (AOLP), and degree of linear polarization (DOLP) data are rendered for each camera.

Training PBR images splits

Scenes 000000–000024 contain objects 0, 8, 18, 19, 20.
Scenes 000025–000049 contain objects 1, 4, 10, 11, 14.

Dataset format

General information about the dataset format can be found in: https://github.com/thodan/bop_toolkit/blob/master/docs/bop_datasets_format.md

References

[1] Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 22691-22701

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