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Clarify

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Nicolas Mowen 2025-05-11 06:10:03 -06:00
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docs/docs/configuration/face_recognition.md
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@ -137,7 +137,7 @@ This can happen for a few different reasons, but this is usually an indicator th
- When you provide images with different poses, lighting, and expressions, the algorithm extracts features that are consistent across those variations.
- By training on a diverse set of images, the algorithm becomes less sensitive to minor variations and noise in the input image.
Go back through the face collections and remove over-fitted images. Then, reprocess your face attempts with the Reprocess button on each face in the Train tab to see how it affects the score.
Go back through the face collections and remove most unclear images. Then, reprocess your face attempts with the Reprocess button on each face in the Train tab to see how it affects the score.
### I see scores above the threshold in the train tab, but a sub label wasn't assigned?