Comments (6)
can you share the data set?
from chefboost.
it might be a rounding problem. in the comment line it says "metric_value": 0.0191
from chefboost.
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
from chefboost.
Data set size is really large and i cannot download it. Could subsample it and share here again?
from chefboost.
I have uploaded here faces_3.csv a 50% subsampling of original data.
from chefboost.
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.
from chefboost.
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