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title: README
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colorFrom: yellow
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sdk: static
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Detection datasets

Easily load and transform datasets for object detection.


Documentation: https://blinjrm.github.io/detection-datasets/

Source Code: https://github.com/blinjrm/detection-datasets

Datasets on Hugging Face Hub: https://huggingface.co/detection-datasets


detection_datasets aims to make it easier to work with detection datasets.

It is both an organisation sharing detection datasets on the 🤗 Hub, and a Python library to load, transform and export detection datasets to multiple formats corresponding to object detection frameworks / models.

The main features are:

  • Read the dataset :
    • From disk if it has already been downloaded.
    • Directly from the Hugging Face Hub if it already exist.
  • Transform the dataset:
    • Select a subset of data.
    • Remap categories.
    • Create new train-val-test splits.
  • Visualize the annotations and images.
  • Write the dataset:
    • To disk, selecting the target detection format: COCO, YOLO and more to come.
    • To the Hugging Face Hub for easy reuse in a different environment and share with the community.

More datasets to come! 🔥