Fast tool for gaining insights from large image repositories.
Project description
Fastdup Tool
Copyright (C) 2024 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
System Requirements
Supported Platforms:
- Linux
- macOS
Windows Support: Windows is not directly supported. However, Windows users can use fastdup via Windows Subsystem for Linux 2 (WSL2) by installing Ubuntu and following the Linux installation instructions.
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