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face rec overfitting instructions

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Josh Hawkins 2025-05-11 07:01:43 -05:00
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docs/docs/configuration/face_recognition.md
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@ -137,6 +137,8 @@ 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. - 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. - 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.
### I see scores above the threshold in the train tab, but a sub label wasn't assigned? ### I see scores above the threshold in the train tab, but a sub label wasn't assigned?
The Frigate considers the recognition scores across all recognition attempts for each person object. The scores are continually weighted based on the area of the face, and a sub label will only be assigned to person if a person is confidently recognized consistently. This avoids cases where a single high confidence recognition would throw off the results. The Frigate considers the recognition scores across all recognition attempts for each person object. The scores are continually weighted based on the area of the face, and a sub label will only be assigned to person if a person is confidently recognized consistently. This avoids cases where a single high confidence recognition would throw off the results.