About this document
Grocery Product Detection Framework by killadorsp killador is a document available to read on EtoBox.
This paper presents a deep learning framework for detecting and recognizing grocery products in retail environments, utilizing a three-module approach: product detection using YOLOv5, product-text detection with an enhanced algorithm, and text recognition with a state-of-the-art model. The proposed framework addresses challenges such as occlusion and varying product appearances, improving performance through innovative techniques like Width Height based Bounding Box Reconstruction. Experimental results demo
- Author
- killadorsp killador
- Language
- EN