About this document

AI Rider & Vehicle ID Methodology Report by Sm Salman is a document available to read on EtoBox.

This report details the progress made in refining the methodology for AI-powered rider and vehicle identification, focusing on image enhancement, dehazing, and super-resolution models. The team finalized model selections including RetinexNet, AOD-Net, and ESRGAN, and established a robust pipeline for detection using YOLOv8. Upcoming tasks include dataset collection and preparation for various data categories.

Author

Sm Salman

Language

EN