Object detection, tracking, and 6DoF Pose Estimation in web browser - Integrated Training Environment to train your own neural network models
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Updated
Oct 23, 2025 - JavaScript
Object detection, tracking, and 6DoF Pose Estimation in web browser - Integrated Training Environment to train your own neural network models
Real-time virtual try-on engine built with React, Three.js, and Mediapipe — where digital fashion meets motion tracking.
Yolo pose estimation browser, power by onnxruntim web, support WebGPU wasm(cpu). Webcam support for live detection, Add your custom model
Yolo11 multi task browser, Object Detection, Pose Estimation, Instance Segmentation Power by onnx-web. support WebGPU wasm(cpu). Realtime process camera, Add your custom model
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This simple web-app written only on js uses mediapipe to detect human body pose in 3D
FitX is an advanced fitness tracking application built using React and TensorFlow.js for real-time pose estimation. The application helps users monitor their workouts, set fitness goals, and track progress with AI-powered assistance. It offers an interactive workout experience with guided commands and video instructions.
V-QUIP: A Vision-based Quick Impromptu Polling System for the Classroom
Real-Time Pose Estimation
Super simple app that estimates the angles in the shoulders based on YOLO pose estimation.
Control a synthesizer by tracking your hands
Quickly add Pose Estimation and Detection to your React Native app. Enable powerful features in your app powered by your user body tracking !.
Human Pose estimation with TensorFlow framework
ergoSmart is an AI-powered posture coach using React.js, TensorFlow.js, and MediaPipe Pose for real-time webcam-based posture analysis and personalized feedback.
A machine learning-based in-browser pose detection
Create experiential NFTs from your body movements
[JS/TensorFlow] JavaScript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement three neural network models for human pose estimation: MoveNet, PoseNet, and BlazePose. No Node.js is required. TensorFlowJS was used, and an example app is included.
Playing and discovering computer vision with TensorFlow.js (old repo)
Codefest 2024 Submission: Virtual AI Gym Companion
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
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