fddb

实现常用基于深度学习的人脸检测算法

CVPR2015 Cascade CNNs for Face Detection

Face detection model zoo

Face Detection benchmark on Windows,Ubuntu and Mac

Face Detection Data Set and Benchmark (FDDB) in Darknet

Realtime Face detection demo using YOLO v2 and OpenCV DNN module

The projects are part of the graduate-level course CSE-573 : Computer Vision and Image Processing [Spring 2019 @ UB_SUNY] Course Instructor : David Doerman (https://cse.buffalo.edu/~doermann/)

The exe file are build in Win10 without GPU

wild face detection based on tensorflow and FDDB dataset

Results for Paper "Deep Convolutional Neural Network in Deformable Part Models for Face Detection" at PISVT 2015

Docker image for FDDB (Face Detection Data Set and Benchmark) evaluation and performance curves generation

Create COCO format and Widerface format annotation files for FDDB dataset.

This repository contains the implementation of a real-time human gender detection application using an optimized Darknet Library. For accurate detection of faces closer or farther from the camera, YOLOv3 architecture is used. It was trained on a modified FDDB dataset

Using CNNs to detect face and non-face images (FDDB dataset)

🥸✅ 🐵❌Developing a babysitting algorithm to preprocess CIFAR10 and FDDB Dataset and train them on Alexnet using Pytorch

Improved implementation of Faster R-CNN for robust face detection

🌊 Enable clear software development with Flow-Driven Development (FDD) for traceable, structured workflows that adapt to any tech stack.