Trust & Safety tools for working together to fight digital harms.

pHash - the open source perceptual hash library

Identifying and removing near-duplicate images using perceptual hashing.

Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

A catalog of naturally occurring images whose Apple NeuralHash is identical.

vips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms

Tool to detect (and get rid of) similar images using perceptual hashing (pHash lib)

Golang library for computing perceptual hashes of images

sharp based perceptual hash implementation

Lightroom plug-in to deduplicate images based on perceptual hash algorithms

A simple perceptual hash library in pure Go.

Calculate PhotoDNA hashes using Python

[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".

Dart package for comparing images. Find the difference between two images by using a variety of image comparison techniques.

CLI Java wrapper for the PhotoDNA library

C/C++ replacement for the 'imagehash' python package

open source perceptual hashing library

Reverse image search utility based on perceptual hash algorithms

Image comparison by hash codes

Perceptual hashing of images in Elixir

Code and models accompanying "Learning to Associate Words and Images Using a Large-scale Graph"

A collection of algorithms for comparing the similarity of images using perceptual hashes

I thought it would be nice to get an email alert when a new job posting appears on a website, so I can use this to check for the newest job openings on various sites

Perceptual hashing library in python (with redis)

Image perceptual hashing tool

Efficiently import pictures while handling duplicates gracefully

📸 Clean your image folder using perceptual hashing and BK-trees using Go!

Perceptual GIF hashing for easily finding near-duplicate GIFs.

Proof of concept for an anti-phishing browser plugin, working by comparing pages screenshots with perceptual hashing algorithms.