A Computer Vision Project - Product Classification & Verification

A Computer Vision project for product classification and verification using image embeddings to find the most visually similar product in a training set.

It leverages an encoder model to compare feature representations and identify matches based on similarity distance.

The pipeline is enhanced with custom data augmentation techniques including rotation and Gaussian blur to improve model robustness.