List of manual image annotation tools

From Wikipedia, the free encyclopedia

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.

Software Description Platform License References
Computer Vision Annotation Tool (CVAT) Computer Vision Annotation Tool (CVAT) is a free, open source, web-based annotation tool which helps to label video and images for computer vision algorithms. CVAT has many powerful features: interpolation of bounding boxes between key frames, automatic annotation using TensorFlow OD API and deep learning models in Intel OpenVINO IR format, shortcuts for most of critical actions, dashboard with a list of annotation tasks, LDAP and basic authorizations, etc. It was created for and used by a professional data annotation team. UX and UI were optimized especially for computer vision annotation tasks. JavaScript, HTML, CSS, Python, Django MIT License [1][2][3]
LabelMe Online annotation tool to build image databases for computer vision research. Perl, JavaScript, HTML, CSS[4] MIT License
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 [5][6][7][8][9][10]

References[edit]

  1. ^ "Intel open-sources CVAT, a toolkit for data labeling". VentureBeat. 2019-03-05. Retrieved 2019-03-09.
  2. ^ "Computer Vision Annotation Tool: A Universal Approach to Data Annotation". software.intel.com. 2019-03-01. Retrieved 2019-03-09.
  3. ^ "Computer Vision Annotation Tool (CVAT) source code on github". GitHub. Retrieved 3 March 2019.
  4. ^ "LabelMe Source". GitHub. Retrieved 26 January 2017.
  5. ^ Tung, Liam. "Free AI developer app: IBM's new tool can label objects in videos for you". ZDNet.
  6. ^ Bornstein, Aaron (Ari) (February 4, 2019). "Using Object Detection for Complex Image Classification Scenarios Part 4". Medium.
  7. ^ Solawetz, Jacob (July 27, 2020). "Getting Started with VoTT Annotation Tool for Computer Vision". Roboflow Blog.
  8. ^ "Best Open Source Annotation Tools for Computer Vision". www.sicara.ai.
  9. ^ "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020.
  10. ^ "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.