Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Feature type 'Sequence[float32]' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Mesh', 'Video', 'Pdf', 'Nifti', 'Json']
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 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 621, in get_module
                  metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/metadata.py", line 157, in from_dataset_card_data
                  param: value if param != "features" else Features._from_yaml_list(value)
                                                           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2148, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                         ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1993, in from_dict
                  obj = generate_from_dict(dic)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1574, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1574, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1587, in generate_from_dict
                  return List(generate_from_dict(feature), **obj)
                              ~~~~~~~~~~~~~~~~~~^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1580, in generate_from_dict
                  raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}")
              ValueError: Feature type 'Sequence[float32]' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Mesh', 'Video', 'Pdf', 'Nifti', 'Json']

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.

Olive Tree Crown Detection

A dataset for detection of crowns of olive trees. The dataset contains 5,842 images with 66,950 bounding box annotations. There are scales to the images taken.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{hnida2025olivetreecrownsdb,
  title={OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision},
  author={Hnida, Youness and Mahraz, Mohamed Adnane and Achebour, Ali and Yahyaouy, Ali and Riffi, Jamal and Tairi, Hamid},
  journal={Data in Brief},
  volume={60},
  pages={111515},
  year={2025},
  publisher={Elsevier}
}```

Hnida, Youness; Mahraz, Mohamed Adnane; Achebour, Ali; Yahyaouy, Ali; Riffi, Jamal; Tairi, Hamid (2024), “OliveTreeCrownsDb: A High-Resolution UAV Dataset for Detection and Segmentation in Agricultural Computer Vision”, Mendeley Data, V3, doi: 10.17632/xym8rd2srf.3
Downloads last month
19