YOLOv8 Segmentation Right in The Browser Using Tensorflow.js

This repository contains the source code for a sneaker detection project, completed as part of ITCS498 Special Topics in Computer Science. The project is divided into two main parts: a front-end built using React, and a back-end built using Fast API (Python).

Agri-Cure is a project that provides a website for farmers to help them find and manage crop diseases using machine learning models. It allows farmers to upload images of their crops and get instant diagnosis and recommendations for treatment.

YOLOv8 Segmentation Right in The Browser Using onnxruntime-web

Application for detecting objects in an image using the YOLOv8 object detection model

YOLOv8 right in your browser with tensorflow.js

A simple React application to detect persons and their pose landmarks

안전운전을 위한 운전자 모니터링 시스템

Foresight: Real-time CCTV 📹 anomaly detection and incident prediction. AI-powered 🧠 security for proactive threat prevention. Stay vigilant, stay secure.

Web-Based Exercise Posture Evaluation and AI Voice Feedback System

大创项目源码

Real-time CCTV system detects helmets and reads vehicle plates for safety enforcement with a user-friendly interface.

Porting YOLOv8 to tinygrad WebGL

This is the Backend side of my website for my startup idea called TechFarming. Built with lot of effort.

Developed an innovative web and mobile application capable of analyzing and identifying lithology and geological discontinuities in drilled core samples. The application uses advanced image processing techniques to provide real-time analysis and mapping of predictions directly onto the samples. 👇👇 LINK IS BELOW👇👇

Example of YOLOv8 Segmentation on Browser. It is powered by Onnx and served through JavaScript without any frameworks

Nigrani is a project that aims to provide monitoring and surveillance capabilities for various systems and applications.

A React Native app built on a custom trained AI model made to hopefully help people with color blindness tell apart bouldering problems or climbing routes that have similar colors.