Loading [MathJax]/extensions/MathMenu.js
Fake Logo Detection | IEEE Conference Publication | IEEE Xplore

Fake Logo Detection


Abstract:

The objective of this study is to recognize a fake product logo and assess how much it resembles a legitimate product logo. We used the YOLO technique and a Darknet frame...Show More

Abstract:

The objective of this study is to recognize a fake product logo and assess how much it resembles a legitimate product logo. We used the YOLO technique and a Darknet framework to construct a fake logo detector.. For a dataset, the logo of copyrighted products is being used as a sample. Most of this research will be influenced by the YOLO algorithm. Brand visibility monitoring, copyright violation detection, and social media product brand management are all examples of uses for logo detection. With the high level of accuracy, we are able to identify the Fake logo.
Date of Conference: 09-10 November 2022
Date Added to IEEE Xplore: 14 February 2023
ISBN Information:
Conference Location: CHENNAI, India

Contact IEEE to Subscribe

References

References is not available for this document.