Ecosystem

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

XMem Video Object Segmentation

Semi-supervised, works with both long and short videos

apps neural network videos segmentation & tracking serve
Run in Supervisely View at GitHub
Readme Releases 31

Details

  • GPL-3.0 license
  • Module ID270
  • Released from CLI
  • Released on2023-07-28 14:32:25
  • Last updated2025-01-23 03:56:38
  • Docker imagesupervisely/xmem:1.0.4

Requirements

  • Instance version6.12.23
  • Needs GPU Yes

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 1K+

Serve Segment Anything 2.1

Deploy SAM 2 model as REST API service

 1K+

Serve MMSegmentation

Deploy model as REST API service

 1K+

Serve MMDetection

Deploy model as REST API service

 812

Serve Detectron2

Deploy model as REST API service

 834

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a 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
© 2025 Supervisely OÜ. All rights reserved.
Built with icons8, freepik, slidesgo, storyset.