YoloV8 for a bare Raspberry Pi 4 or 5

A lightweight C++ implementation of YoloV8 running on NVIDIAs TensorRT engine

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.

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.

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).

This repository provides a fully containerized microservice for object detection using YOLOv8 and FastAPI. With Docker and Docker Compose, developers can easily set up, run, and integrate advanced object recognition capabilities into their applications.

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