Datasets:

OVT-NPU
/

OpenImagesV6_small

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Bad split: calib_images/*. Available splits: ['test']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 116, in get_rows
                  ds = safe_load_dataset(
                      dataset,
                  ...<4 lines>...
                      download_config=download_config,
                  )
                File "/src/services/worker/src/worker/utils.py", line 470, in safe_load_dataset
                  return load_dataset(
                      path,
                  ...<5 lines>...
                      token=token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1684, in load_dataset
                  return builder_instance.as_streaming_dataset(split=split)
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1165, in as_streaming_dataset
                  raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}")
              ValueError: Bad split: calib_images/*. Available splits: ['test']

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.

Dataset Card for [OpenImagesV6_small]

This dataset is a custom downstream variant derived from the official Open Images V6 Dataset. It has been extracted for object classification applications in TinyML applications.

Licensing and Attribution Information ⚠️

This dataset features a split-licensing structure inheriting from its upstream source, Open Images V6:

Annotations: Any new or modified annotations, labels, and bounding boxes created for this project are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Source Images: The underlying photographs are originating from Flickr. The creators of this dataset do not hold the copyright to these images. Use of the images is bound by the Flickr Terms of Use. Users are individually responsible for ensuring their compliance with the original photographers' terms, particularly regarding commercial downstream use.

Upstream Attribution

If you use this dataset, you must attribute both this derivative version and the original foundation dataset:

Original Dataset Creators: Open Images (OpenImages: A public dataset for large-scale multi-label and multi-class image classification. (A. Kuzenetsova et al., 2017)).

Citation

If you use this dataset, please cite the following original paper alongside this repository:

@article{OpenImagesV4
  title={The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale},
  author={A. Kuznetsova, H. Rom, N. Alldrin, J. Uijlings, I. Krasin, J. Pont-Tuset, S. Kamali, S. Popov, M. Malloci, A. Kolesnikov, T. Duerig, and V. Ferrari},
  journal={International Journal of Computer Vision (IJCV)},
  year={2020}
}

@article{InstanceSegment
  title={Large-scale interactive object segmentation with human annotators},
  author={R. Benenson, S. Popov, and V. Ferrari},
  journal={Computer Vision and Pattern Recognition (CVPR)},
  year={2019}
}

@article{LocalizedNarratives
  title={Connecting Vision and Language with Localized Narratives},
  author={J. Pont-Tuset, J. Uijlings, S. Changpinyo, R. Soricut, and V. Ferrari},
  journal={European Conference on Computer Vision (ECCV)},
  year={2020}
}

@article{OpenImages
  title={OpenImages: A public dataset for large-scale multi-label and multi-class image classification},
  author={Krasin I., Duerig T., Alldrin N., Ferrari V., Abu-El-Haija S., Kuznetsova A., Rom H., Uijlings J., Popov S., Kamali S., Malloci M., Pont-Tuset J., Veit A., Belongie S., Gomes V., Gupta A., Sun C., Chechik G., Cai D., Feng Z., Narayanan D., Murphy K.},
  year={2017}
}

Downloads last month: 112

Curated by:

[Omnivision Inc]

Source Dataset:

Open Images Dataset V6

Language:

English

License:

CC BY 4.0 (for annotations) / Flickr Terms of Use (for source images)

Total file size:

4.73 MB

Paper for OVT-NPU/OpenImagesV6_small

Connecting Vision and Language with Localized Narratives

Paper • 1912.03098 • Published Dec 6, 2019