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Python3 library for converting between various image annotation dataset formats.

Project description

The image-dataset-converter library allows the conversion between various dataset formats for image annotation datasets. Filters can be supplied as well, e.g., for cleaning up the data.

Dataset formats:

  • image classification: ADAMS (r/w), sub-dir (r/w)

  • object detection: ADAMS (r/w), COCO (r/w), OPEX (r/w), ROI (r/w), VOC (r/w), YOLO (r/w)

  • image segmentation: blue-channel (r/w), grayscale (r/w), indexed PNG (r/w), layer segments (r/w)

Changelog

0.0.1 (2024-05-06)

  • initial release

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image-dataset-converter-0.0.1.tar.gz (65.7 kB view hashes)

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