Export as masks
For semantic and instance segmentation tasks
Save your assets and labels in different formats
For semantic and instance segmentation tasks
images and JSON annotations
Transform project to YOLO v5 format and prepares tar archive for download
Converts Supervisely to COCO format and prepares tar archive for download
Export only labeled items and prepares downloadable tar archive
Converts Supervisely Project to Pascal VOC format
Transform Supervisely format to YOLOv8 format
Download activity as csv file
Download images from project or dataset.
Export images in DOTA format and prepares downloadable archive
Converts Supervisely annotations to Cityscapes format and prepares downloadable tar archive
Export Images Metadata from Project
Converts Supervisely format to COCO Keypoints
Creates video from images in dataset with selected frame rate and configurable label opacity
Download CSV file with download links for images
Objects with specific tag will be treated as reference items
Export project to Google Cloud Storage, Amazon S3, Microsoft Azure, ...
Export items after the passing labeling job review
Converts annotations from Supervisely to COCO format as RLE masks with preserving holes
Saves tag to images mapping to a json file
Export videos project and prepares downloadable tar archive
Export only labeled items and prepares downloadable tar archive
Creates presentation mp4 file based on labeled video
Creates video from images in dataset with selected frame rate and configurable label opacity
Export items after the passing labeling job review
Export pointclouds project and prepares downloadable tar archive
Export only labeled items and prepares downloadable tar archive
Export project or dataset in Supervisely pointcloud episode format
Converts Supervisely Pointcloud format to KITTI 3D
Export items after the passing labeling job review