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Comments (6)

serengil avatar serengil commented on May 18, 2024

can you share the data set?

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serengil avatar serengil commented on May 18, 2024

it might be a rounding problem. in the comment line it says "metric_value": 0.0191

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rjgarciar avatar rjgarciar commented on May 18, 2024

Shouldn't it be around 0.5 looking at the plot?

The data set has these columns:

  • "Person1": The name of first person
  • "Person2": The name of second person
  • "Idx1": Annoy index of ArcFace embedding of Person1
  • "Idx2": Annoy index of ArcFace embedding of Person2
  • "Distance": cosine distance between embeddings of Person1 and Person2
  • "Decision": Yes if Person1 is the same as Person2, No if it isn't

I know this is out of topic, it should be in your deepface package, but it's the reason I was trying to stablish a threshold: it is relatively common that:

  • two faces of different persons have a very small cosine distance (< 0.1)
  • two faces of same person have a very big cosine distance (> 1.0)

Perhaps this is the reason of "metric_value": 0.0191...

Data set is available here

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serengil avatar serengil commented on May 18, 2024

Data set size is really large and i cannot download it. Could subsample it and share here again?

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rjgarciar avatar rjgarciar commented on May 18, 2024

I have uploaded here faces_3.csv a 50% subsampling of original data.

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alwaysmpe avatar alwaysmpe commented on May 18, 2024

For large datasets the code isn't evaluating every possible partition (presumably due to performance). Instead it's using mean and +/- 1-3 std deviations. This subsampling is implemented in ‎processContinuousFeatures.

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