Ecosystem

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

TransT object tracking (CVPR2021)

serve and use in videos annotator

apps neural network videos detection & tracking serve
Run in Supervisely View at GitHub
Readme Releases 21

Details

  • GPL-3.0 license
  • Module ID110
  • Released from CLI
  • Released on2021-10-22 07:14:23
  • Last updated2024-07-11 15:15:02
  • Docker imagesupervisely/trans-t:1.0.3

Requirements

  • Instance version6.4.29
  • Needs GPU Yes

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 2K+

Serve YOLOv5

Deploy model as REST API service

 1K+

Serve MMDetection

Deploy model as REST API service

 834

Serve MMDetection 3.0

Deploy MMDetection 3.0 model as a REST API service

 639

MixFormer object tracking

CVPR2022 SOTA video object tracking

 639

Auto Track

Tracking settings for video annotation tool

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.