An image recognition process contained in the LFW database http://vis-www.cs.umass.edu/lfw/#download is carried out with extreme simplicity, taking advantage of the ease of sklearn to implement the SVM model. Cascading face recognition is also used to refine the images, obtaining accuracy greater than 70% in the test with images that do not appe…

A coolection of tools for organizing directories, specifically converting the Labeled Faces of the Wild (cropped) to a common standard.

Face Recognition with convolutional neural network (CNN) on Labeled Faces in the Wild (LFW) dataset

Deep Siamese network for low-resolution face recognition (2021, APSIPA ASC)

Pytorch implementation of "A Better Autoencoder for Image: Convolutional Autoencoder" by Yifei Zhang

Introduction of how to use LFW database according to its protocols

Tensorflow implementation of dcgan

https://www.dunxuan.xyz/experience/LFW-VOC-Label.html

Face Recognition using FaceNet

Repo for our Paper: Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments

Train/validate VGGface2 dataset based on L2-constrained softmax loss.

128D Facenet Embedding Visualisation

Multi-metric-learning-discriminative-for-face-verification-SPDML-with-Labled-FACE-In Wild-(LFW ) dataset-YFT

This is the Python version of evaluation.m for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17

Face recognition

Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination (2019, ICIP)

Some handy scripts for processing face datasets

work in Advanced Topics in Multimedia Analysis and Indexing