Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2025
Data sources: ZENODO
addClaim

Ultralytics YOLO

Authors: Jocher, Glenn; Qiu, Jing; Chaurasia, Ayush;

Ultralytics YOLO

Abstract

🌟 Summary Ultralytics 8.3.127 introduces a powerful new semantic image search solution, allowing users to find images using natural language queries through an easy-to-use web app powered by AI. πŸ–ΌοΈπŸ”βœ¨ πŸ“Š Key Changes Semantic Image Search Solution Added New VisualAISearch and SearchApp classes enable searching images by describing them in plain language. Utilizes OpenAI CLIP for understanding both images and text, and Meta FAISS for fast, scalable search. Includes a modern Flask web interface for interactive image retrieval. Stylish HTML template for displaying search results visually. Documentation & Guides Comprehensive new guide and reference documentation for the similarity search feature. Updated solution listings to highlight this new capability. Testing & Dependencies Added automated tests for the new search feature. Flask added as a required dependency for solutions. Minor Fix Removed a duplicate "device" argument from tracker configuration for cleaner, more reliable code. 🎯 Purpose & Impact Find Images with Natural Language Users can now search large image collections by simply describing what they're looking for (e.g., "a dog sitting on a bench"), making image retrieval intuitive and accessible. No Labels or Metadata Needed The solution works out-of-the-box with just your imagesβ€”no need for manual labeling or categorization. Zero-Shot & Human-Like Understanding Thanks to CLIP, the search engine understands abstract or complex queries, retrieving images based on meaning, not just keywords. Fast & Scalable FAISS ensures searches are quick, even with thousands or millions of images. Easy to Use & Customize The included Flask web app is ready to run and can be tailored to your needs, whether for personal archives, creative projects, or business applications. Improved Code Quality Minor configuration cleanup enhances reliability for users customizing tracking features. This release makes advanced AI-powered image search accessible to everyone, opening up new ways to interact with and explore your visual data! πŸš€ What's Changed Remove duplicate device argument from tracker args by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/20476 ultralytics 8.3.127 New Visual Similarity Search Solution by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/20397 Full Changelog: https://github.com/ultralytics/ultralytics/compare/v8.3.126...v8.3.127

If you use this software, please cite it using the metadata from this file.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average