Ecosystem

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

Apply Detection and Pose Estimation Models to Images Project

Label project images using detector and pose estimator

apps neural network images pose estimation keypoints detection object detection inference interfaces
Run in Supervisely View at GitHub
Readme Releases 25

Details

  • Module ID225
  • Released on2023-03-01 17:01:15
  • Released from CLI
  • Last updated2023-07-31 13:14:04
  • Docker imagesupervisely/base-py-sdk:6.72.70

Requirements

  • Instance version6.7.16
  • Needs GPU No

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 136

Serve ViTPose

Deploy model as REST API service

 684

Train YOLOv8

Dashboard to configure, start and monitor YOLOv8 training

 313

Serve YOLOv8

Deploy YOLOv8 as REST API service

 1K+

RITM interactive segmentation SmartTool

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

 3K+

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
© 2023 Supervisely OÜ. All rights reserved.
Built with icons8, freepik, slidesgo, storyset.