Tools for converting Label Studio annotations into common dataset formats

React Native / Expo image classification and object detection demos

AI在前端领域应用的Demo集合

AI Object Detector with Next js 14, Tailwind CSS, Tenserflow, React

React UI for Image object detection using tensorflow.js

Dual camera proctoring system - A automated proctoring system that uses the mobile camera and webcam to proctor students and prevents any sort of malpractice.

A real-time object detection system built with Next.js 14, TensorFlow.js, and the COCO-SSD model. This application uses your device's webcam to detect objects and potential security threats in real-time.

Live time object detector. Contributions are welcomed for more diversified models

Detecting objects with TensorFlow.js.

An app using TensorFlow.js as Web Components.

Traffic Violation Detection System is a system that utilize machine learning and embedded device to detect a traffic violation especially on light. The system would/should notify the authorities if it detect an object inside caution area.

A technical prototype to test the posibility of runinng object detection in the browser of your phone or computer

A react app using the coco-ssd model from tensorflowjs to detect objects both in live form or uploaded as an image.

Real-time AI driver monitoring system using MediaPipe and Next.js to detect fatigue, yawning, and distraction to enhance road safety.

🔍 Detect objects in real-time and extract their 3D coordinates using YOLOv5 and Intel RealSense D435 for robotic arm tasks.

Putting together VS Code extension, tensorflow.js, and object detection (coco-ssd) into a simple project.

Presenting you an awesome web based application that could detect almost any object, have used latest Next.js 14 JS Framework and Tailwind CSS, will be leveraging Tensorflow.js for detection

Object-Detector-DLM-WEB is a web-based application that utilizes deep learning models for real-time object detection and tracking using your camera feed. The application is built using HTML, CSS, and JavaScript, and leverages TensorFlow.js with the COCO-SSD model to detect and label objects in the video stream.

Object Detection App (CDN Version) is a lightweight web application that uses TensorFlow.js to detect objects in images and webcam streams, all running directly in the browser. This CDN-based implementation eliminates the need for Node.js, npm, and build processes by loading all dependencies from content delivery networks, making it easier to run.