LuigiBKL / samples

Notebooks and more to help you get started. Including the PyLabeler Jupyter based labeling tool.

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Notebooks and code samples to help you use the PyLabel Python package and the PyLabeler Jupyter-based labeling tool.

PyLabeler

PyLabeler is a Jupyter-based labeling tool that you can use to annotate images and edit bounding box annotations within a Jupyter notebook.

  • label_new_dataset.ipynb Open In Colab
    This notebook is a labeling tool that can be used to annotate image datasets with bounding boxes, automatically suggest bounding boxes using an object detection model, and save the annotations in YOCO, COCO, or VOC format.
  • yolo2pylabeler.ipynb Open In Colab
    This notebook uses PyLabeler to edit an existing dataset of Yolo annotations and save the new annotations back to Yolo format.

PyLabel

PyLabel is a Python library to simplify managment of computer vision annnotations and datasets. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

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Notebooks and more to help you get started. Including the PyLabeler Jupyter based labeling tool.

License:MIT License


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