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Fast tool for gaining insights from large image repositories.

Project description

Fastdup Tool

Copyright (C) 2022 by Dr. Amir Alush and Dr. Danny Bickson.

fastdup is a tool for gaining insights from a large image/video collection. It can find anomalies, duplicate and near duplicate images/videos, clusters of similarity, learn the normal behavior and temporal interactions between images/videos. 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 is:

  • Unsupervised: fits any dataset
  • Scalable : handles 400M images on a single machine
  • Efficient: works on CPU only
  • Low Cost: can process 12M images on a $1 cloud machine budget

Non Commercial License

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