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Faster similarity retrieval method?
I now have 140000 images to do similarity retrieval, annoy measured to about 10s, would like to ask if there is a faster retrieval method?
You might be using a lot of features, ANNOY works better if the number of features is less than 100, Since the number of images is very high, you can try optimizing by reducing the vector dimensions. From summary of Spotify ANNoy features:- Works better if you don't have too many dimensions (like <100) but seems to perform surprisingly well even up to 1,000 dimensions.