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.
More information Software, Description ...
| Software |
Description |
Platform |
License |
References |
| Computer Vision Annotation Tool (CVAT) |
Computer Vision Annotation Tool (CVAT) is an 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 |
|
| TagLab |
Desktop open source interactive software system for facilitating the precise annotation of benthic species in orthophoto of the bottom of the sea. |
Python [5] |
GPL |
[6] [7] |
| 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 |
[8][9][10][11] |
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