YoloV8 for a bare Raspberry Pi 4

This project focuses on the comparative analysis of machine learning models for the task of violence detection in images or videos. Violence detection is a crucial application with various real-world use cases, including surveillance, content moderation, and public safety.

This project implements a Wrinkle Detection application using YOLOv8 for segmentations. The application is built with Streamlit and allows users to upload images for wrinkle detection of human faces. Segmentation using YOLOv8s (small) finetuned model.

In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

detect football player, ball, goalkeeper, refree with custom trained yolo wieghts