Ecosystem

What's Supervisely? Sign in Create an account
Home › apps ›

RITM interactive segmentation SmartTool

State-of-the art object segmentation model in Labeling Interface

apps neural network images videos dicom interactive segmentation serve
Run in Supervisely View at GitHub
Readme Releases 44

Details

  • Module ID111
  • Released on2021-10-22 07:14:24
  • Released from CLI
  • Last updated2023-11-15 17:23:02
  • Docker imagesupervisely/ritm:1.2.0

Requirements

  • Instance version6.5.1
  • Needs GPU Preferred

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 548

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 159

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 426

Train RITM

Dashboard to configure, start and monitor training

 4K+

Train YOLOv5

Dashboard to configure and monitor training

 2K+

Serve YOLOv5

Deploy model as REST API service

Drop us a line at
hello@supervisely.com
Labeling tools
  • Image labeling
  • Video labeling
  • LiDAR labeling
  • DICOM labeling
Labeling automation
  • AI-assisted labeling
  • Custom labeling UI
  • Labeling services
Data and users
  • Data management
  • User collaboration
  • Quality assurance
  • Security & permissions
Neural networks
  • Train, serve & apply
  • Query and transform
  • Visualize, analyze & improve
  • Generate synthetic data
Platform
  • About ecosystem
  • What's a Supervisely App?
  • API and SDK automation
  • Feature comparison
For business
  • Enterprise edition
  • Pricing
  • Partnership
  • Contact us
Company
  • About us
  • Terms of Service
  • Privacy Policy
Resources
  • Developer docs
  • Community forum
  • Slack chat
  • Ecosystem index
© 2023 Supervisely OÜ. All rights reserved.
Built with icons8, freepik, slidesgo, storyset.