Roboflow Annotate is the browser-based labeling component of Roboflow’s computer vision platform, designed to move quickly from raw images to a versioned, training-ready dataset. It is oriented toward practical CV workflows and connects directly to the broader Roboflow toolchain for dataset management, augmentation, training, and deployment.
What it does
Users label images with bounding boxes, polygons, and keypoints for object detection, segmentation, and classification. Speed features such as keyboard shortcuts, a smart polygon tool, and label assistants reduce manual effort, while AI-assisted auto-labeling can pre-annotate images using foundation models such as Grounding DINO or a user’s own trained model, with adjustable confidence thresholds for review.
Key features
- Auto Label using foundation models or custom-trained models
- Smart polygon and assisted tools for precise object boundaries
- Dataset organization, versioning, and augmentation
- Team collaboration, review, and approval workflows
- Export to common formats and direct handoff to model training
Deployment and pricing
Roboflow Annotate runs as a hosted cloud service, with a free tier suited to public projects and smaller workloads and paid plans that scale for private projects, larger teams, and higher volume. It is widely used by individual developers, startups, and CV teams that want an integrated path from labeling through training and deployment rather than a standalone annotation tool.
ImageVideo