Medical Image Annotation Tool

V7 is a powerful AI training data platform that allows you to annotate images, videos, and volumetric series. It is the fastest way to get high-quality annotated data for your computer vision models. You can use auto-labeling features, train models in the cloud, or even hire professional annotators to help you out. - Pixel-perfect automatic data labeling - Intuitive dataset management - A one-click model training With advanced auto-labeling and team collaboration tools, V7 will reduce your data annotation time by 90% and help you manage your workflows. Annotate any dataset with ease and seamlessly integrate V7 into your training data management and model development pipeline. - Create automatic pixel-level labels for instance segmentation - Add automatic label interpolations between video frames - Detect and track objects in videos with instance IDs - Use auto-segmentation for medical imaging and volumetric data - Annotate medical file formats such as DICOM and NIfTI - Run your data through public models or train your own AI from scratch - Scan text, classify files, and extract relevant information with AI - Add key points and skeletons for human and animal pose estimation - Assign user roles, access permissions, and annotation tasks V7 is an intuitive annotation and machine learning platform that makes AI easy. Use bounding boxes, polygons, key points or auto-segmentation tools powered by ML models. Supervise and manage your data labeling projects with an easy-to-use visual interface. You can use the platform for designing custom data annotation workflows with review stages and model-assisted labeling. Import and export annotations in JSON, COCO, CVAT, Pascal Voc, PNG semantic masks, and other file formats. Get full control over your models, tasks, and datasets via the open API and Python CLI. Try out the ultimate data labeling tool for computer vision with our free plan: https://v7labs.com/get-started