PaperPulse logo
FeedTopicsAI Researcher FeedBlogPodcastAccount

Stay Updated

Get the latest research delivered to your inbox

Platform

  • Home
  • About Us
  • Search Papers
  • Research Topics
  • Researcher Feed

Resources

  • Newsletter
  • Blog
  • Podcast
PaperPulse•

AI-powered research discovery platform

© 2024 PaperPulse. All rights reserved.

Automated Image Recognition Framework

arXivSource

Quang-Binh Nguyen, Trong-Vu Hoang, Ngoc-Do Tran, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le

cs.CV
|
Jun 24, 2025
3 views

One-line Summary

The Automated Image Recognition (AIR) framework uses generative AI to create and annotate datasets for training deep learning models, eliminating the need for manual labeling.

Plain-language Overview

The Automated Image Recognition (AIR) framework is a new system designed to help create and label image datasets automatically using artificial intelligence. This framework allows users to generate high-quality datasets without the time-consuming process of manual annotation. AIR uses advanced techniques to ensure the datasets are diverse and free from duplicates or errors, and can also enhance existing datasets to improve machine learning model performance. A user study showed that the AI community finds AIR to be a highly effective tool for image recognition tasks.

Technical Details