Computer Vision Data Annotation Platform for AI

Technologies
python, django, react, kubernetes, typescript
Topics
machine learning, computer vision, ai, deep learning, data
Computer Vision Data Annotation Platform for AI
Computer Vision Annotation Tool (CVAT) is a free, open-source, web-based image and video annotation tool that is 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 keyframes, semi-automatic annotation using deep learning models, shortcuts for most critical actions, a dashboard with a list of annotation projects and tasks, support for organizations with different user roles, etc. Sounds interesting? Read more about us here: https://www.cvat.ai/post/introduction-to-cvat-ai-best-image-annotation-tool-explained-in-simple-terms
2024 Program

Successful Projects

Contributor
tahamukhtar20
Mentor
bsekachev, Maria Khrustaleva
Organization
CVAT
Keyboard Shortcuts Customization
Efficient data annotation is paramount in various fields. However, current annotation tools often lack flexibility in terms of input customization,...
Contributor
Vidit Agarwal
Mentor
Maxim, Roman Donchenko
Organization
CVAT
Quality Control: Consensus
Problems faced while developing labelled data: 1. Annotations made by a single person can include their biases into the data and eventually into the...