Scale Rapid vs Supervisely

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.

Supervisely is a computer vision platform for curating data, labeling images, video, 3D and medical imagery, and building production models. Its labeling workflows cover images, video, LiDAR and DICOM, with AI-assisted labeling and tracking. Teams can train, evaluate and deploy models, including through active-learning workflows. Data tools include search, visualization and quality statistics, plus connections to AWS, Google Cloud and Azure storage. A JSON API, Python SDK and AppEngine support integrations and workflow automation. Community is free with 5 GB of storage, 10,000 files and two members; projects in free teams are archived after 30 days of inactivity. Pro is listed at €199/mo, with 50 GB and 50,000 files; add-ons are available. Enterprise has custom pricing and can be self-hosted or cloud deployed, including on private networks without outside internet access. Supervisely says uploaded or generated customer data is private and not shared or used by the service. It was released in August 2017 and is headquartered in Tallinn, Estonia.