CVAT Image & Video Annotation Solutions by Yobitel

This is a repackaged open-source software product wherein additional charges apply for expert support, pre-configuration, and ongoing maintenance services. CVAT Computer Vision Annotation Tool is a pre-configured annotation platform designed for rapid deployment. It provides advanced computer vision data labeling capabilities for images and videos, including OpenCV , bounding boxes, polygons, keypoints, segmentation masks, and object tracking. The platform comes pre-installed with all essential dependencies and integrations for high-performance annotation workflows, including Docker, Python, and popular AI-assisted labeling models. Automation scripts simplify environment setup, task creation, and user management, allowing teams to start annotating datasets immediately after deployment. Multi-Format Dataset Support: Export annotations in widely used formats such as YOLO, COCO, Pascal VOC, and more, ensuring seamless compatibility . Model-Training Ready Datasets: All exported datasets can be directly used to train state-of-the-art models including YOLOv5 to YOLOv12, recent YOLO versions. OpenCV-Powered Annotation Tools: Integrated OpenCV-based annotation utilities within the platform allow efficient annotation and manipulation of labels for improved accuracy and workflow speed. Pre-Configured CVAT Environment: Delivered as a ready-to-use annotation environment optimized for deployments, minimizing setup time and configuration effort. Rich Annotation Support: Offers a wide range of annotation types including bounding boxes, polygons, segmentation, keypoints, and object tracking for complex video datasets.