Ecosystem

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

Apply Detection and Classification Models to Images Project

Label project images using detector and classify predicted boxes

apps neural network images classification object detection inference interfaces
Run in Supervisely View at GitHub
Readme Releases 21

Details

  • Module ID160
  • Released on2022-06-01 19:43:57
  • Released from CLI
  • Last updated2023-07-31 11:26:36
  • Docker imagesupervisely/base-py-sdk:6.72.70

Requirements

  • Instance version6.4.61
  • Needs GPU No

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 467

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 558

Train MMClassification

Dashboard to configure, start and monitor training

 766

AI assisted classification

Use neural network in labeling interface to classify images and objects

 55

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

 368

Apply Classifier to Images Project

Apply Classifier to Images Project

label project images or objects using NN

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.