ML Pipelines
[Beta] Drag and drop interface for building custom DataOps pipelines
Presentation, content generation, administration
[Beta] Drag and drop interface for building custom DataOps pipelines
Get instant DatasetNinja statistics for your project
Archive old projects on community
Service to render annotations on the fly and show them in Supervisely
Remove temporary files from Team files
Delete unused projects or their datasets in large batches
Create a new empty project with a meta of original project
Effortlessly track and interpolate labeled objects on a conveyor belt in real-time
Propagate bboxes to multiview images group
Application that visualizes the most recently updated images
Label images using updatable Reference Database
Solve Instance Segmentation tasks
Real-time CLAHE filter visualization