411 
Export Items After Review
Export items after the passing labeling job review
Overview
Application creates Classic Labeling Process based on Queues
Application key points:
- Now works with Videos Projects only
- Select Annotators and Reviewers
- Monitor labeling process
- Monitor each Annotator and Reviewer stats
- Monitor items stats
How to Run
- Add Classic Labeling Queues to your team from Ecosystem.
- Run app from the context menu of Videos Project (example):
Common apps
After start you can use application with next Supervisely Applications ⬇️
Demo
Details
- Module ID133
- Released from CLI
- Released on2022-01-19 13:58:05
- Last updated2023-11-13 15:32:39
- Docker imagesupervisely/collaboration:6.72.182
Requirements
- Instance version6.8.48
- Needs GPU Preferred
Resources
Similar
83 
Labeling Consensus for Videos
Compare annotations of multiple labelers
2K+ 
RITM interactive segmentation SmartTool
State-of-the art object segmentation model in Labeling Interface
5K+ 
Train YOLOv5
Dashboard to configure and monitor training
15K+ 
Import Videos
Import Videos without annotations to Supervisely
Drop us a line at
Labeling tools
Labeling automation
Data and users
Neural networks
For business
Company
