Improve face recognition (#15205)

* Validate faces using cosine distance and SVC

* Formatting

* Use opencv instead of face embedding

* Update docs for training data

* Adjust to score system

* Set bounds

* remove face embeddings

* Update writing images

* Add face library page

* Add ability to select file

* Install opencv deps

* Cleanup

* Use different deps

* Move deps

* Cleanup

* Only show face library for desktop

* Implement deleting

* Add ability to upload image

* Add support for uploading images

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
-```
+```
+
+## 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.