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I am on a survey about image retrieval datasets. I have found some, such as:

  • NUS-WIDE
  • Oxford5k
  • Oxford105k
  • Paris6k
  • MSCOCO

I have been way too confused about the detection metrics and the metrics they use inside these datasets for image retrieval purposes. For example:

  • AP
  • Recall
  • Precison
  • Mean Average Precision

My question is, how I can identify the metrics that these datasets use for image retrieval purposes.

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You can check in papers with code, in the "image retrieval" category:

enter image description here

There, you will find multiple datasets and, for each one, the best-performing models according to certain metric, with links to the associated article and source code, e.g.:

enter image description here

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