Leveraging YOLOv8 in Orifake: A deep learning system for combating counterfeit logos

The proliferation of counterfeit logos necessitates efficient methods for brand protection. This study addresses this challenge by introducing Orifake, a deep-learning model leveraging YOLOv8 (You Only Look Once) for logo classification. The model analyses logos (Adidas, Nike, Puma) for subtle features like colour, patterns, shapes, and textures. The evaluation demonstrates an average recall of 78.5%. Notably, Orifake excels at identifying fake NIKE logos (recall: 94.9%). However, further refinement is needed for original NIKE logos due to their lower mAP-95 value. This research highlights the potential of Artificial Intelligence (AI) logo detection for brand protection against increasing online fraud.