CVAT vs Scale Rapid

CVAT turns images, video, 3D data and audio into labeled datasets for AI workflows. Its annotation tools include boxes, masks, polygons, keypoints, skeletons and object tracks, with additional listed types such as cuboids, ellipses and tags. Teams can review jobs through validation and acceptance stages and assess quality using ground truth, honeypots and consensus workflows. Storage connections include Amazon S3, Azure Blob Storage, Google Cloud Storage, compatible buckets and self-hosted storage. CVAT names SAM 2, SAM 3, Ultralytics, Hugging Face and custom models as labeling aids. It exports to more than 20 formats, including COCO, YOLO, KITTI, Cityscapes and Pascal VOC, and offers API, SDK and CLI automation. Deployment can be managed in the cloud or self-hosted, including on-premises and air-gapped options. Free plans are available; online paid plans start at $23/user/mo billed annually. CVAT lists security controls but says it does not hold ISO 27001 or SOC 2 certifications.

Scale Rapid provides machine learning engineers and researchers with labeled data and instruction feedback for experiments, with availability described as being possible in as little as one hour. Customers can create labeling projects, write and submit their own instructions, and upload data through the web interface or API. They can improve quality by creating or updating evaluation tasks, then inspect quality and throughput metrics, including edge case detection. Rapid supports bounding box, polygon, line, cuboid, ellipse, and point annotations, and includes a review workflow. Research teams and startups can use it while iterating on experimental models and labeling instructions. Scale describes Rapid as early access and directs interested customers to a waitlist or contact process. The paid, pay-as-you-go plan is billed per label, with no minimum commitments, annual contracts, or platform fees. Listed platforms are web and API. Scale documentation includes product guides, workflows, API concepts, and endpoint references.