Update docs sidebar name (#16370)

* Clarify classification

* Fix face hierarchy as well

docs/docs/configuration/face_recognition.md

@@ -54,6 +54,6 @@ When first enabling face recognition it is important to build a foundation of st
 
 Then it is recommended to use the `Face Library` tab in Frigate to select and train images for each person as they are detected. When building a strong foundation it is strongly recommended to only train on images that are straight-on. Ignore images from cameras that recognize faces from an angle. Once a person starts to be consistently recognized correctly on images that are straight-on, it is time to move on to the next step.
 
-# Step 2 - Expanding The Dataset
+### Step 2 - Expanding The Dataset
 
 Once straight-on images are performing well, start choosing slightly off-angle images to include for training. It is important to still choose images where enough face detail is visible to recognize someone.

docs/docs/configuration/semantic_search.md

@@ -1,6 +1,6 @@
 ---
 id: semantic_search
-title: Using Semantic Search
+title: Semantic Search
 ---
 
 Semantic Search in Frigate allows you to find tracked objects within your review items using either the image itself, a user-defined text description, or an automatically generated one. This feature works by creating _embeddings_ — numerical vector representations — for both the images and text descriptions of your tracked objects. By comparing these embeddings, Frigate assesses their similarities to deliver relevant search results.

docs/sidebars.ts

@@ -33,7 +33,7 @@ const sidebars: SidebarsConfig = {
         'configuration/object_detectors',
         'configuration/audio_detectors',
       ],
-      'Semantic Search': [
+      Classifiers: [
         'configuration/semantic_search',
         'configuration/genai',
         'configuration/face_recognition',