Duplicate-detection Libraries

5 Components & Libraries

Sortby

Duplicate-detection Libraries

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

🚀 Introducing VL Profiler! 🚀 We're excited to announce our new cloud product, VL Profiler. It's designed to help you gain deeper insights and enhance your productivity while using fastdup. With VL P…

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similarity, learn the normal behavior and temporal intera…

Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.

Upgrade pip In the following usage example the first two and the fourth instance of VideoHash class are computing the hash for the same video(not same as in checksum) and the third one is a different…

Interactive code for image similarity using SIFT algorithm

This repo provides a working interactive code to use SIFT algorithm for image similarity. I have also presented some of the results. Check them out and let me know if you need something more. Anyone …

CLI utility to find near duplicate images and remove all but the best copy.

In the first phase the elasticsearch backend is checked against the current filesystem state, cleaning up database entries of files that no longer exist. This will speed up queries made later on. Alt…