• Source: Computer Vision Annotation Tool

Computer Vision Annotation Tool (CVAT) is a free, open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel, CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.
CVAT supports the primary tasks of supervised machine learning: object detection, image classification, and image segmentation. CVAT allows users to annotate data for each of these cases.
CVAT has many powerful features, including interpolation of shapes between key frames, semi-automatic annotation using deep learning models, shortcuts for most critical actions, a dashboard with a list of annotation projects and tasks, LDAP and basic access authentication, etc.
CVAT is written mainly in TypeScript, React, Ant Design, CSS, Python, and Django. It is distributed under the MIT License, and its source code is available on GitHub.
CVAT team hosts an online version of the data annotation platform at cvat.ai as SaaS.




See also


List of manual image annotation tools
VoTT




References






External links


Getting Started with CVAT - Annotation for Computer Vision
Image annotation tools on GitHub
Annotation tools for building datasets
Best Open Source Annotation Tools for Computer Vision
Four Important Computer Vision Annotation Tools you Need to Know in 2020
Image Annotation Tools: Which One to Pick in 2020?

Kata Kunci Pencarian:

• Daftar istilah fotografi
• Computer Vision Annotation Tool
• List of manual image annotation tools
• VoTT
• Feature (computer vision)
• Web scraping
• Neural radiance field
• List of datasets in computer vision and image processing
• 3D modeling
• LabelMe
• Computer-generated imagery