Ecosystem

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

Apply Object Segmentor to Images Project

Label project images using object segmentor

apps neural network images salient object segmentation inference interfaces
Run in Supervisely View at GitHub
Readme Releases 16

Details

  • Module ID236
  • Released from CLI
  • Released on2023-04-03 13:58:10
  • Last updated2024-12-04 10:16:51
  • Docker imagesupervisely/base-py-sdk:6.73.93

Requirements

  • Instance version6.9.22
  • Needs GPU No

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 43

Serve InSPyReNet

Deploy InSPyReNet for salient object segmentation as a REST API service

 57

Serve IS-Net

Deploy model as REST API service

 8

Serve SelfReformer

Deploy SelfReformer for salient object segmentation as a REST API service

 2K+

RITM interactive segmentation SmartTool

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

 5K+

Train YOLOv5

Dashboard to configure and monitor training

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
© 2025 Supervisely OÜ. All rights reserved.
Built with icons8, freepik, slidesgo, storyset.