yunet

📸 Automatically detects and crops faces from batches of pictures.

YuNetのPythonでのONNX、TensorFlow-Lite推論サンプル

Detecting and anonymizing human faces in images using deep learning models (YuNet) and OpenCV.

A real-time face and object detection with gender classification and virtual glasses overlay.

Pre-release likeness-risk screening for AI short-drama character images. Finds public-figure lookalikes with traceable references; human review required.

Open-source face login and walk-away auto-lock for Windows 10/11. Credential Provider + DeepFace (ArcFace) + YuNet + MiniFASNet liveness. Tray-managed, 12-language UI. A self-hosted alternative to Windows Hello / Howdy for Windows.

GPU-accelerated face detection, cropping, enhancement, and batch export tools in Rust.

YUNet evaluation on WIDERFace dataset

Cluster Face sorts images based on the faces in it.

Real-time Multi-face Tracking in TouchDesigner with OpenCV & YuNet

seedance2.0 face-pass - local small-model CPU eye mask (YuNet/Haar). No cloud LLM. Zero inference cost.

Yunet is one of the fastest (maybe lightest) face detection in the world with only 75M params but achieve pretty well performance. There are some thing we can improve on top of it and this repo is to do so.

YUNet implementation using PyTorch

My learning on the AI field also working on several Google Colab Notebooks

An interactive technical presentation for an industrial-grade face mask detection system, built with YuNet face detection and MobileNetV2 classification.

Real-time face detection & recognition in C++ with OpenCV (YuNet + SFace), webcam enrollment, and live FPS display.

A premium, glassmorphic Smart Classroom Attendance System built with React, Vite, and Flask. Features real-time AI face recognition (SSD Mobilenet v1 & YuNet), automated timezone-aware logs, multi-tenant RBAC (Admin, Faculty, Student dashboards), database audit logs, and secure JWT authentication.

Real-time face-swap artifact detector — webcam/mobile frames + video jobs (OpenCV, PyTorch, Flask)

Convert YuNet models for use on RV1106 NPU

AI-powered Computer Vision backend for SmartPresence utilizing FastAPI, OpenCV (YuNet/SFace), and PostgreSQL for high-speed face recognition and persistent attendance management.