YOLOv8 right in your browser with onnxruntime-web
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Updated
Jun 12, 2024 - JavaScript
YOLOv8 right in your browser with onnxruntime-web
YOLOv8 right in your browser with tensorflow.js
YOLOv8 Segmentation Right in The Browser Using onnxruntime-web
YOLOv8 Segmentation Right in The Browser Using Tensorflow.js
Example of YOLOv8 Segmentation on Browser. It is powered by Onnx and served through JavaScript without any frameworks
A simple React application to detect persons and their pose landmarks
Foresight: Real-time CCTV 📹 anomaly detection and incident prediction. AI-powered 🧠 security for proactive threat prevention. Stay vigilant, stay secure.
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-Based Exercise Posture Evaluation and AI Voice Feedback System
Nigrani is a project that aims to provide monitoring and surveillance capabilities for various systems and applications.
YOLOv8 + PyTorch + CV2 Python-Flask Web application for Object Detection and Classification
大创项目源码
Application for detecting objects in an image using the YOLOv8 object detection model
An AI-powered vision system designed to enhance passenger experience and optimize operational efficiency at the YVR airport by utilizing machine learning to track passenger volumes and identify maintenance needs in real-time using security cameras.
Background removal tool that runs locally and allows you to select individual objects to retain in the image
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👇👇
Tensorflow.js object detection yolov8n coco-Ssd
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