Ecosystem

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

Serve MMClassification

Deploy model as REST API service

apps neural network images classification serve
Run in Supervisely View at GitHub
Readme Releases 49

Details

  • Apache-2.0 license
  • Module ID96
  • Released from CLI
  • Released on2021-07-20 14:13:57
  • Last updated2025-04-15 15:01:47
  • Docker imagesupervisely/mmcls:1.0.9

Requirements

  • Instance version6.12.44
  • Needs GPU Preferred

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 23

Serve MMClassification V2 (MMPretrain)

Deploy model as REST API service

 879

ImgAug Studio

Visualize and build augmentation pipeline with ImgAug

 1K+

Train MMClassification

Dashboard to configure, start and monitor training

 252

Prompt-based Image Filtering with CLIP

Filter and rank images by text prompts with CLIP models

 98

Synthetic retail products

Generate synthetic data for classification of retail products on grocery shelves

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.