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
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
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.