New example on building a near-duplication image search utility. Comprises of an image classifier, Bit LSH (Locality Sensitive Hashing), random projection, and TensorRT optimized inference to drastically reduce the query time. LSH and random projection have been shown with from-scratch implementations for readers to better understand them.

  
      

      keras.io
  

  
    

Keras documentation: Near-duplicate image search 18