823 
ImgAug Studio
Visualize and build augmentation pipeline with ImgAug
Apply Detection and Classification Models to Images Project
Label project images using detector and classify predicted boxes
Details
- Module ID160
- Released from CLI
- Released on2022-06-01 19:43:57
- Last updated2024-05-30 14:49:29
- Docker imagesupervisely/base-py-sdk:6.73.93
Requirements
- Instance version6.9.22
- Needs GPU No
Resources
Similar
1K+ 
Train MMClassification
Dashboard to configure, start and monitor training
239 
Prompt-based Image Filtering with CLIP
Filter and rank images by text prompts with CLIP models
96 
Synthetic retail products
Generate synthetic data for classification of retail products on grocery shelves
1K+ 
AI assisted classification
Use neural network in labeling interface to classify images and objects
Drop us a line at
Labeling tools
Labeling automation
Data and users
Neural networks
For business
Company
