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Gender-Classifier-Mini Hits 97.2% Accuracy and 778K Monthly Downloads

A compact SigLIP2 fine-tune hits 97.2% accuracy on binary gender classification, pulling 778K downloads with a 93M-parameter footprint.

Gender-Classifier-Mini Hits 97.2% Accuracy and 778K Monthly Downloads
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AlphaSignal
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AlphaSignal Newsroom
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A compact SigLIP2 fine-tune hits 97.2% accuracy on binary gender classification, pulling 778K downloads with a 93M-parameter footprint.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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