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creating a face recognition system from scratch using caffe deep learning library, dataset we are using in this face recognition system is from vgg face dataset

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Face Recognition System VGGNet

creating a face recognition system from scratch using caffe deep learning library, dataset we are using in this face recognition system is from vgg face dataset.

All the steps to create Face Recognition System

step 1:- Data Download

Download vgg face data set

Here are the steps for downloading vgg face dataset

Download data from google image search

using this python script you can download images from google image search just you have to add names for person sarch in the cel.txt file, the images downloaded from google search contain some wrong face or different images, so more preprocessing is required.

step 2:- Data Preprocessing

Croping Image

we are cropping image according to vgg net input[224 * 224]

Creating LMDB data

caffe take a specific format of data input

step 3: Model Fine Tuning

take pre-training model, here are the steps to do fine tuning

step 4: Model Tesing

this python script run for tesing model

step 5: Final Model Deploment

Final deploment

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creating a face recognition system from scratch using caffe deep learning library, dataset we are using in this face recognition system is from vgg face dataset

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