Ecosystem

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

Synthetic videos for tracking

Synthesize videos on annotated data

apps neural network videos detection & tracking segmentation & tracking nn tools synthetic data operations
Get in Supervisely View at GitHub
Readme Releases 13

Details

  • Module ID100
  • Released on2021-08-03 13:49:22
  • Last updated2022-08-04 16:54:30
  • Docker imagesupervisely/base-py-sdk:6.35.0

Requirements

  • Instance version6.4.57
  • Needs GPUNo

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 657

Train MMDetection

Dashboard to configure, start and monitor training

 395

Apply NN to Videos Project

NN Inference on videos in project or dataset

 276

Serve MMDetection

Deploy model as REST API service

 2K+

Train YOLOv5

Dashboard to configure and monitor training

 1K+

Serve YOLOv5

Deploy model as REST API service

Drop us a line at
hello@supervise.ly
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
© 2023 Supervisely OÜ. All rights reserved.
Built with icons8, freepik, slidesgo.