YOLOv8 right in your browser with tensorflow.js

YOLOv8 right in your browser with onnxruntime-web

YOLOv8 Segmentation Right in The Browser Using onnxruntime-web

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

YOLOv8 Segmentation Right in The Browser Using Tensorflow.js

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

A simple React application to detect persons and their pose landmarks

YOLOv8 + PyTorch + CV2 Python-Flask Web application for Object Detection and Classification

Ollama Optivus is a video processing AI that extracts meaningful insights from videos using AI technologies like YOLO for object detection, EasyOCR for text extraction, and Whisper for speech-to-text. Integrated with Ollama LLM, it provides detailed summaries and event analysis, supporting various advanced AI model prompting.

Yolo object detection browser, Power by onnxruntime-web, Support WebGPU, wasm(cpu). Webcam support for live detection, Add your custom model

A VS Code extension for quickly browsing and editing YOLO dataset annotations through YAML configuration files.

Web-Based Exercise Posture Evaluation and AI Voice Feedback System

Background removal tool that runs locally and allows you to select individual objects to retain in the image

Signal-X is an AI-powered traffic management system using advanced computer vision, edge computing, and geospatial intelligence. With real-time sensor fusion, machine learning algorithms, and adaptive signal control, it enables dynamic congestion management and emergency vehicle prioritization.

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.

Web app and fashion detection/recommendation engine that leverages deep learning, computer vision, and LLM's to provide outfit recommendations.

large-scale apple tree dataset

Industrial Watch is an AI-based system that enhances workplace efficiency and product quality in industrial settings. It uses AI technologies to monitor employee performance, detecting cigarette use, mobile phone use, and improper posture, as well as identifying defects in products like centrifugal discs, water bottles, and textiles.