A perceptual hash is a fingerprint of a multimedia file derived from various features from its content. Unlike cryptographic hash functions which rely on the avalanche effect of small changes in input leading to drastic changes in the output, perceptual hashes are "close" to one another if the features are similar.

Image Similarity search build on Milvus

This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon Elasticsearch service

🔎 PicTrace is an efficient image matching platform leveraging structural similarity and keypoint algorithms for fast, accurate image searches. It allows direct uploads or URL submissions, quickly scanning a large database to find similar images. With asynchronous processing, PicTrace delivers a smooth and quick visual search experience.

Repo for the final project of "Numerical Methods for Algorithmic Systems and NeuralNetworks"

Implemented an image search feature on the website to improve the experience of 35% of customers dissatisfied with keyword searches. This enhancement incorporated the CNN model with 95% accuracy for image classification and the Siamese model for the top 5 similar products, leveraging the data set of 24,000+ images across 10 different classes.

Find similar images in dataset for a new image using Resnet50+KNN. In order to solve curse of dimensionality using PCA to reduce the dimensionality of features.

Image Similarity System with Deep Autoencoders

A Python package to detect and extract the changed parts & coordinates of those parts from the images if any.