From 3d1c35370d86fcd612a4dd5a1145c4c63013c659 Mon Sep 17 00:00:00 2001 From: Nicolas Mowen Date: Thu, 21 Nov 2024 13:15:18 -0700 Subject: [PATCH] Update docs for training data --- docs/docs/configuration/face_recognition.md | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/docs/docs/configuration/face_recognition.md b/docs/docs/configuration/face_recognition.md index af079a226..3e0cfd30c 100644 --- a/docs/docs/configuration/face_recognition.md +++ b/docs/docs/configuration/face_recognition.md @@ -18,4 +18,18 @@ Face recognition is disabled by default and requires semantic search to be enabl ```yaml face_recognition: enabled: true -``` \ No newline at end of file +``` + +## Dataset + +The number of images needed for a sufficient training set for face recognition varies depending on several factors: + +- 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. +- 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. +- Desired accuracy: The higher the desired accuracy, the more images are typically needed. + +However, here are some general guidelines: + +- Minimum: For basic face recognition tasks, a minimum of 10-20 images per person is often recommended. +- Recommended: For more robust and accurate systems, 30-50 images per person is a good starting point. +- Ideal: For optimal performance, especially in challenging conditions, 100 or more images per person can be beneficial. \ No newline at end of file