Easy-to-use finetuned YOLOv8 models.
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Updated
Feb 27, 2023 - HTML
Easy-to-use finetuned YOLOv8 models.
Object detection webUI and model for dental xray analysis
Travel Assistance System for the Visually Impaired (ARIADNE) is an AI-powered solution designed to enhance mobility for visually impaired individuals by combining real-time video analysis with voice-guided navigation.
# 🎯 YOLOv智能标注工具 一个功能强大的网页端YOLOv自动标注工具,支持目标检测和实例分割,可加载自定义训练模型,自动标注图片和视频,并导出为多种训练格式,可调整数据集导出比例,自定义类型ID。
Circuitry.ai is an open-source tool that combines computer vision and large language models to detect, analyze, and explain electronic circuit diagrams. It leverages YOLOv8 for component detection and LLaMA 3 for generating intelligent textual explanations of how the circuit works.
Real-time Fire Detection using YOLOv8
AI-driven traffic sign detection and recognition system using YOLOv8 and a diverse dataset including Hong Kong traffic signs, designed for enhancing road safety and efficient traffic management.
Welcome to the Fruit Ripeness and Disease Detection System! This application utilizes advanced YOLOV8 models to detect various fruits and diagnose diseases in bananas, mangoes, and pomegranates. Built with Flask, the web application allows users to either upload images for analysis or use a live video feed for real-time detection.
👀 A web app for detecting and counting objects in videos using YOLOv8 for detection and ByteTrack for tracking, with customizable regions of interest (ROIs) function.
Intelligent Snooker Video Analyzer turns ordinary snooker footage into professional-grade insights. It automatically detects every shot, tracks cue ball path, and generates cinematic highlights in seconds. Built for clubs, academies, and passionate players, it delivers instant real-time playback and highlights share
Trash Object Detection & classification API based on YOLOv8
Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.
中國象棋 PWA 應用(離線版)
Meta-Lingo is a comprehensive desktop application designed for corpus linguistics research. Built with modern technologies (Electron + React + Python FastAPI), it provides powerful tools for multimodal corpus management, linguistic analysis, and annotation.
Manage Crowd using AI & Alert System
The project is a Flask-based application that uses YOLOv8 for detecting humans and vehicles in forest areas via webcam feeds, aiming to assist forest authorities in addressing trespassing incidents efficiently.
This project is a web application for detecting skin cancer using object detection techniques. It leverages the YOLOv8 model to identify various types of skin cancer from uploaded images or videos, as well as through live webcam feeds.
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