Home › apps ›

Train RITM

Dashboard to configure, start and monitor training

apps neural network images videos dicom interactive segmentation train
Run in Supervisely View at GitHub
Readme Releases 36

Details

  • Module ID141
  • Released from CLI
  • Released on2022-02-22 17:13:01
  • Last updated2024-08-09 13:58:34
  • Docker imagesupervisely/ritm-training:1.1.5

Requirements

  • Instance version6.9.22
  • Needs GPU Yes

Resources

Similar

 2K+

RITM interactive segmentation SmartTool

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

 1K+

Serve ClickSEG

Deploy ClickSEG models for interactive instance segmentation

 209

EiSeg interactive segmentation SmartTool

SmartTool integration of Efficient Interactive Segmentation (EISeg)

 5K+

Train YOLOv5

Dashboard to configure and monitor training

 2K+

Serve YOLOv5

Deploy model as REST API service

Drop us a line at