Ecosystem

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

Object detection metrics

Interactive Confusion matrix, mAP, ROC and more

apps neural network images videos object detection nn tools
Run in Supervisely View at GitHub
Readme Releases 28

Details

  • Module ID109
  • Released from CLI
  • Released on2021-10-11 21:12:56
  • Last updated2024-10-10 09:26:29
  • Docker imagesupervisely/base-py-sdk:6.72.147

Requirements

  • Instance version6.9.11
  • Needs GPU No

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 227

Export YOLOv5 weights

to TorchScript and ONNX formats

 310

Anonymize Data

App to obscure data on images and videos

 42

Export YOLOv8 weights

to TorchScript and ONNX formats

 5K+

Train YOLOv5

Dashboard to configure and monitor training

 2K+

Serve YOLOv5

Deploy model as 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.