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Update docs for training data
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@ -19,3 +19,17 @@ Face recognition is disabled by default and requires semantic search to be enabl
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face_recognition:
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face_recognition:
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enabled: true
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enabled: true
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```
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```
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## Dataset
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The number of images needed for a sufficient training set for face recognition varies depending on several factors:
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- Complexity of the task: A simple task like recognizing faces of known individuals may require fewer images than a complex task like identifying unknown individuals in a large crowd.
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- Diversity of the dataset: A dataset with diverse images, including variations in lighting, pose, and facial expressions, will require fewer images per person than a less diverse dataset.
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- Desired accuracy: The higher the desired accuracy, the more images are typically needed.
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However, here are some general guidelines:
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- Minimum: For basic face recognition tasks, a minimum of 10-20 images per person is often recommended.
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- Recommended: For more robust and accurate systems, 30-50 images per person is a good starting point.
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- Ideal: For optimal performance, especially in challenging conditions, 100 or more images per person can be beneficial.
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