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I was hoping to get some clarification on the intended use-case for this. Should it strictly be used for duplicate detection or can it also be used to identify similar images. This page seems to suggest that it can be used to measure image similarity. However when I try it on the attached images, it does not seem to agree with the intuition that two images of shoes should be significantly more similar than an image of a shoe and something else.
The distance between the first and second image seems to be 0.71422605625006175 but the distance between the first and third is 0.70043762770711271.
The text was updated successfully, but these errors were encountered:
Hi @alexminnaar yes, the intended use is for near-duplicate images. The original use case was detection of copyright violation over a corpus of a billion+ images.
I was hoping to get some clarification on the intended use-case for this. Should it strictly be used for duplicate detection or can it also be used to identify similar images. This page seems to suggest that it can be used to measure image similarity. However when I try it on the attached images, it does not seem to agree with the intuition that two images of shoes should be significantly more similar than an image of a shoe and something else.
The distance between the first and second image seems to be 0.71422605625006175 but the distance between the first and third is 0.70043762770711271.
The text was updated successfully, but these errors were encountered: