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README_Data Labelling Tools and Frameworks.md

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Data Labelling Tools and Frameworks

  • COCO Annotator - Web-based image segmentation tool for object detection, localization and keypoints
  • Computer Vision Annotation Tool (CVAT) - OpenCV's web-based annotation tool for both VIDEOS and images for computer algorithms.
  • Doccano - Open source text annotation tools for humans, providing functionality for sentiment analysis, named entity recognition, and machine translation.
  • ImageTagger - Image labelling tool with support for collaboration, supporting bounding box, polygon, line, point labelling, label export, etc.
  • ImgLab - Image annotation tool for bounding boxes with auto-suggestion and extensibility for plugins.
  • Label Studio - Multi-domain data labeling and annotation tool with standardized output format
  • Labelimg - Open source graphical image annotation tool writen in Python using QT for graphical interface focusing primarily on bounding boxes.
  • OpenLabeling - Open source tool for labelling images with support for labels, edges, as well as image resizing and zooming in.
  • PixelAnnotationTool - Image annotation tool with ability to "colour" on the images to select labels for segmentation. Process is semi-automated with the watershed marked algorithm of OpenCV
  • Semantic Segmentation Editor - Hitachi's Open source tool for labelling camera and LIDAR data.
  • Superintendent - superintendent provides an ipywidget-based interactive labelling tool for your data.
  • VGG Image Annotator (VIA) - A simple and standalone manual annotation software for image, audio and video. VIA runs in a web browser and does not require any installation or setup.
  • Visual Object Tagging Tool (VOTT) - Microsoft's Open Source electron app for labelling videos and images for object detection models (with active learning functionality)