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The latest tools that help you and your team build software better, together.
Mark Reference Objects for Retail
Prepare examples for products from catalog
Extract frames from videos
Read every n-th frame and save to images project
Tags co-occurrence matrix
Explore images for every combination of tags pairs in co-occurrence table
Movie genre from its poster
Application imports kaggle dataset 'Movie genre from its poster' as supervisely project
While True Script
Used to create infinite task for debug
Import videos by URLs from txt file
Downloads videos by URLs and uploads them to Supervisely Storage
Diff and Merge Images Projects
Visual diff and merge tool helps compare images in two projects
Diff and Merge Project Meta
Visual diff and merge tool helps compare project tags and classes
Classes co-occurrence matrix
Explore images for every combination of classes pairs in co-occurrence table
Copy project between instances
Copies images + annotations + images metadata
Render Video Labels to MP4
Creates presentation mp4 file based on labeled video
Video objects stats for every class
The number of objects, figures and frames for every class for every dataset
Group reference objects into batches
Group items by selected columns from CSV catalog
Turn video project into images
Labeled video frames to labeled images
Create JSON with reference items
Objects with specific tag will be treated as reference items
Copy image tags to objects
Tags and object classes can be customized
Add properties to image from CSV
Match image tag with CSV columns and add row values to image
Convert YOLO v5 to Supervisely format
Transform YOLO v5 format to supervisely project
Invite users to team from CSV
Invite users to team
Convert Supervisely to YOLO v5 format
Transform project to YOLO v5 format and prepares tar archive for download
Create users from CSV
Only instance admin has permissions to run it
App Template (No GUI)
template for your headless app
Remote import
Connect your remote storage and import data without duplication. Data is stored on your server but visible in Supervisely
Assign train/val tags to images
Assigns tags (train/val) to images. Training apps will use these tags to split data.
Labeler First Time Through
First Time Through ratio shows how many items labeler annotated right the first time (i.e. reviewer accepted his work on first round).
Labeling Events Stats
Total number of labeling actions and annotated unique images in a time interval
Import from Google Cloud Storage
Upload images by reading links (Google Cloud Storage) from CSV file
Labeling Jobs Stats
General statistics for all labeling jobs in team
Create Trainset for SmartTool
Prepare training data for SmartTool
Object Size Stats
Detailed statistics and distribution of object sizes (width, height, area)
Classes stats for images
Detailed statistics for all classes in images project
Merge classes
Merge multiple classes with same shape to a single one
Rasterize objects on images
Convert classes to bitmap and rasterize objects without intersections
Lemons (Annotated)
6 images with annotated lemons and kiwifruits
Lemons (Test)
Sample images project without labels
Print Progress and Error
Prints progress and then raises error
Videos example
Sample videos with labels
Unpack AnyShape Classes
Split "AnyShape" classes to classes with strictly defined shapes (polygon, bitmap, ...)
Convert Class Shape
Converts shapes of classes (e.g. polygon to bitmap) and all corresponding objects
Hello World App
Working demo, use it as a template for your custom apps
