Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Convert VOC format XMLs to COCO format json

A JavaFX desktop application for creating image-object-annotations with bounding boxes.

AI Assisted Image and Video Training Data Labeling @ Scale

Web tool for computer vision data collection.

Automate video data creation. Extract frames, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.

How to Annotate Keypoints Using Roboflow (Article on Medium)

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

Pupil segmentation and maritime object tracking case study by Label Your Data for Nexvision.

Convolutional Neural Networks, Computer Vision, Object detection, Pascal VOC

Claude Skill for managing CVAT annotation workflows through natural language — create tasks, export datasets, and automate labeling pipelines without memorizing CLI commands.