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

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

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

wild face detection based on tensorflow and FDDB dataset

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

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/)

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

The exe file are build in Win10 without GPU

Face Detection Data Set and Benchmark (FDDB) in Darknet

Realtime Face detection demo using YOLO v2 and OpenCV DNN module

Face Detection benchmark on Windows,Ubuntu and Mac

Face detection model zoo

实现常用基于深度学习的人脸检测算法 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

CVPR2015 Cascade CNNs for Face Detection