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deepface-autoencoder – AI Model by BJyotibrat | AlphaNeural AI

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BJyotibrat/
deepface-autoencoder

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computer-vision

image-reconstruction

face-processing

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CelebA Autoencoder

Overview

This project implements a Convolutional Autoencoder trained on the CelebA dataset for image compression and reconstruction.

Features

Learns compressed latent representation of face images
Reconstructs images from compressed representation
Evaluated using PSNR and SSIM metrics

Dataset

CelebA Dataset (Kaggle)

Model

Encoder: Convolutional layers with downsampling
Decoder: Transposed convolution layers for reconstruction

Results

Average PSNR: 31.126471439997356
Average SSIM: 0.9329655667146047

Notes

Model performs lossy compression
Some blurring is expected due to reconstruction loss

Please Fell Free to Use this Project in what ever way you like.