fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

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

Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包，支持亿级数据文搜文、文搜图、图搜图，python3开发，开箱即用。

PyTorch Blog Post On Image Similarity Search

Interactive code for image similarity using SIFT algorithm

🖼️ 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)

Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Segmentation, Human Attribute Recognition, Pornography Detection, Image Super Resolution, Text Similarity, Car License Plate, etc.

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

图片搜索引擎，很简单。三步构建属于你自己的图片搜索引擎，掌握向量数据库和以图搜图、文本搜索图片。

Deep learning based image similarity search for product recommendations

Image similarity using Triplet Loss

Interactive Image similarity and Visual Search and Retrieval application

The AugNet Python module contains functions for the fast computation of image similarity.

Image similarity in Golang. Version 4 (LATEST)

Golang library for computing perceptual hashes of images

Takes 2 images and says how similar they are based on Euclidean distance of feature vectors

Similarity Measure. Re-implementation for PyTorch.

Python package undouble is to detect (near-)identical images.

Deep Ranking based ImageSimilarity will be developed as plugin on ImageSpace. https://users.eecs.northwestern.edu/~jwa368/pdfs/deep_ranking.pdf