CVAT

CVAT is an open-source data annotation platform designed for machine learning applications, supporting images, videos, and 3D data. It provides a comprehensive suite of annotation tools, including bounding boxes, polygons, points, skeletons, cuboids, and trajectories, to accurately label datasets for computer vision models. The platform integrates AI-powered auto-annotation capabilities and algorithmic assistance, such as intelligent scissors and histogram equalization, to significantly speed up the annotation process. CVAT caters to solo labelers, small teams, and large enterprises, offering flexible deployment options including cloud-based online services and self-hosted enterprise solutions. It features robust data management with cloud storage integration (AWS S3, Google Cloud Storage, Azure Blob Storage), API access for workflow automation, and advanced quality control mechanisms like manual review, ground truth jobs, and honey pots. For enterprise users, CVAT provides enhanced security features like SSO, role-based access controls, and audit logs, along with dedicated support and customization options, making it suitable for organizations prioritizing security, compliance, and control over their data.