ML Pipelines
Drag and drop interface for building custom DataOps pipelines
Transfer and filter assets(images) between Supervisely instances
Drag and drop interface for building custom DataOps pipelines
Converts shapes of classes (e.g. polygon to bitmap) and all corresponding objects
Assigns tags (train/val) to images. Training apps will use these tags to split data.
Merge multiple classes with same shape to a single one
Filters images and provides results in selected format