Metadata-Version: 1.1
Name: image-dataset-converter
Version: 0.0.1
Summary: Python3 library for converting between various image annotation dataset formats.
Home-page: https://github.com/waikato-datamining/image-dataset-converter
Author: Peter Reutemann
Author-email: fracpete@waikato.ac.nz
License: MIT License
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
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
