Ecosystem

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

Auto Track

Tracking settings for video annotation tool

apps videos labeling neural network detection & tracking segmentation & tracking interactive segmentation serve
Run in Supervisely View at GitHub
Readme Releases 47

Details

  • Module ID319
  • Released from CLI
  • Released on2024-07-05 17:42:35
  • Last updated2025-04-25 08:48:42
  • Docker imagesupervisely/auto-track:1.0.5

Requirements

  • Instance version6.12.17
  • Needs GPU No

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 1K+

Apply NN to Videos Project

Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically

 214

Batched Smart Tool for Videos

Batched smart labeling tool for Videos

 356

Apply NN to video frames

Apply NN models to video frames

 476

Mark attributed segments on multi-camera videos

Tag segments (begin and end) with custom attributes on single or multiple videos in dual-panel view

 175

Mark segments on multi-camera videos

Tag segments (begin and end) on single or multiple videos in dual-panel view

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.