Welcome to the imagecluster documentation

imagecluster is a package for clustering images by content. We use a pre-trained deep convolutional neural network to calculate image fingerprints which represent content. Those are used to cluster similar images. In addition to pure image content, it is possible to mix in timestamp information which improves clustering for temporally uncorrelated images.

• Methods
  • Representation of image content: fingerprints
  • Content and time distance
  • Clustering and similarity index
  • Quality of clustering & parameters to tune
  • Performance
• Usage
  • Minimal example
  • Detailed example
• Install
• Contributions
• Related projects
• Tests

• API Reference
  • calc
  • exceptions
  • io
  • postproc