CVPR2015 Cascade CNNs for Face Detection
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Updated
Jan 10, 2018 - HTML
CVPR2015 Cascade CNNs for Face Detection
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Face detection model zoo
Realtime Face detection demo using YOLO v2 and OpenCV DNN module
Face Detection Data Set and Benchmark (FDDB) in Darknet
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
wild face detection based on tensorflow and 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
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.
Using CNNs to detect face and non-face images (FDDB dataset)
š„øā šµāDeveloping a babysitting algorithm to preprocess CIFAR10 and FDDB Dataset and train them on Alexnet using Pytorch
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