Design and deploy a real-time, low-light-robust animal detection system using YOLOv8 for highways that reliably identifies animals at night and triggers timely driver/road-side alerts to reduce collisions.
Aim:
The aim of this project is to propose a system to automate the process of fish population monitoring in aquaculture environments by utilizing the YOLOv8 deep learning-based object detection model, combined with image enhancement techniques.
Python
