Fake Logo Detection
M Iswarya, S Arun Shankar, Shaik Abdul Hameed · 2022 1st International Conference on Computational Science and Technology (ICCST) · 2022
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.