Trust & Safety tools for working together to fight digital harms.
-
Updated
May 8, 2024 - C++
Perceptual hashing is the use of an algorithm that attempts to fingerprint multimedia for identification and comparison. Perceptual hashes of two similar multimedia should be similar.
Trust & Safety tools for working together to fight digital harms.
pHash - the open source perceptual hash library
Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates
Identifying and removing near-duplicate images using perceptual hashing.
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
vips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms
sharp based perceptual hash implementation
Reverse image search utility based on perceptual hash algorithms
Dart package for comparing images. Find the difference between two images by using a variety of image comparison techniques.
Tool to detect (and get rid of) similar images using perceptual hashing (pHash lib)
Perceptual hashing of images in Elixir
Lightroom plug-in to deduplicate images based on perceptual hash algorithms
Code and models accompanying "Learning to Associate Words and Images Using a Large-scale Graph"
A catalog of naturally occurring images whose Apple NeuralHash is identical.
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
Golang library for computing perceptual hashes of images
[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".
open source perceptual hashing library
Find similar images in several directories by aHash/dHash/pHash.
A simple perceptual hash library in pure Go.