List of manual image annotation tools
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications.
This is a list of computer software which can be used for manual annotation of images.
|VoTT (Visual Object Tagging Tool)||Free and open source electron app for image annotation and labeling developed by Microsoft.||TypeScript/Electron (Windows, Linux, macOS)||MIT License|||
- ^ "Intel open-sources CVAT, a toolkit for data labeling". VentureBeat. 2019-03-05. Retrieved 2019-03-09.
- ^ "Computer Vision Annotation Tool: A Universal Approach to Data Annotation". software.intel.com. 2019-03-01. Retrieved 2019-03-09.
- ^ "Computer Vision Annotation Tool (CVAT) source code on github". GitHub. Retrieved 3 March 2019.
- ^ "LabelMe Source". GitHub. Retrieved 26 January 2017.
- ^ Tung, Liam. "Free AI developer app: IBM's new tool can label objects in videos for you". ZDNet.
- ^ Bornstein, Aaron (Ari) (February 4, 2019). "Using Object Detection for Complex Image Classification Scenarios Part 4". Medium.
- ^ Solawetz, Jacob (July 27, 2020). "Getting Started with VoTT Annotation Tool for Computer Vision". Roboflow Blog.
- ^ "Best Open Source Annotation Tools for Computer Vision". www.sicara.ai.
- ^ "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020.
- ^ "GitHub - microsoft/VoTT: Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos". November 15, 2020 – via GitHub.