This is a simple guide on how to use supervisley!!
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Updated
Jul 14, 2020
This is a simple guide on how to use supervisley!!
PyTorch dataset loader for exported Supervisely annotation format, including an example usage tutorial training Faster-RCNN.
Performing Instance Segmentation on X-Ray Images with Mask R-CNN
Counts number of objects (instances), their figures, and number of frames that have object of specific class.
App signs up users from CSV file. Available only for users with admin permissions or in Enterprise Edition
Visual diff and merge tool compare projects tags and classes
156 images unlabeled images with road scenery
Labeled roads (1000 images)
List of all publicly available Supervisely Ecosystem modules
10 images with labeled road
Conversion of Dataset from Darknet Format into Supervisely Format via Python.
Explore and build ImgAug augmentations with Supervisely
Resize images and annotations
Reference objects are grouped into batches by columns from CSV catalog
Takes the 'ann' metadata folder of a supervisely dataset and converts all bitmaps to rectangles
Import videos from your cloud storage by copying data or by link
Supervisely project to YOLOv5 format (downloadable tar archive)
Real-time portrait segmentation for mobile devices
General overview of all labeling jobs in team
Example images with lemons and kiwifruits without annotations (6 images)
Add a description, image, and links to the supervisely topic page so that developers can more easily learn about it.
To associate your repository with the supervisely topic, visit your repo's landing page and select "manage topics."