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

Visualize, edit and review annotations of detections and pose keypoints

Real-time active shooter detection system using YOLOv11 for gun and pose recognition. Still under development and training. Designed for research and early-stage security applications.

Upload a short walking video → visualize pose keypoints and get quick gait metrics (stride proxy, step time, cadence estimate). Built on YOLO-Pose. One-click Colab + browser demo.

A mixed‐precision YOLO-Pose hand gesture recognition system based on the Synaptics Astra SL1680 NPU

The combination of face identification and action recognition for fall detection (ICT Journal)

The aipose library provides a simple API for performing human pose estimation in computer vision projects using pre-trained deep learning models built on PyTorch and TensorFlow.

Classify human poses with help of yolo pose model.

Use Deepstream python API to extract the model output tensor and customize the post-processing of YOLO-Pose

A simple React application to detect persons and their pose landmarks

According to the official release of YOLOv7, support for YOLO-POSE inference script `detect_pose.py` has been added.

使用OpenCV部署yolov5-pose目标检测+人体姿态估计，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l