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How should I evaluate FaceMe's recognition accuracy?

Start by reviewing independent benchmark results such as NIST FRTE to objectively compare facial recognition accuracy. FaceMe achieved a 99.83% TAR at an FMR of 1E-6 in NIST FRTE 1:1 face verification, and 99.61% accuracy in a 12-million-face database search in NIST FRTE 1:N.

Before deployment, we also recommend conducting a POC under real-world conditions in your target environment, such as different lighting conditions, camera angles, face sizes, and mask usage, to validate recognition performance for your specific application.

For complete NIST benchmark results and test conditions, please refer to the FaceMe SDK product page.

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How should I evaluate FaceMe's recognition accuracy?