image-dataset-converter plugins for labelme (https://github.com/wkentaro/labelme).
Supported formats: image classification, object detection, instance segmentation
Examples can be found here:
https://github.com/waikato-datamining/image-dataset-converter-examples
Changelog
0.1.0 (2025-10-31)
switched to kasperl library for base API and generic pipeline plugins
0.0.3 (2025-04-03)
added –resume_from option to relevant readers that allows resuming the data processing from the first file that matches this glob expression (e.g., */012345.json)
new grouping support added to writers via the –split_group option
0.0.2 (2025-03-14)
added support for placeholders: from-labelme-ic, from-labelme-od, to-labelme-ic, and to-labelme-od
0.0.1 (2025-02-11)
initial release
Metadata
Release files for image-dataset-converter-labelme 0.1.0
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Release files / image_dataset_converter_labelme-0.1.0.tar.gz
| Download URL | image_dataset_converter_labelme-0.1.0.tar.gz |
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| Size | 8.3 kB |
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twine/5.0.0 CPython/3.12.3
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