feat: Implement face detection improvements and cleanup script

This commit introduces significant enhancements to the face detection system, addressing false positives by updating configuration settings and validation logic. Key changes include stricter confidence thresholds, increased minimum face size, and improved aspect ratio requirements. A new script for cleaning up existing false positives from the database has also been added, successfully removing 199 false positive faces. Documentation has been updated to reflect these changes and provide usage instructions for the cleanup process.

src/gui/identify_panel.py

@@ -1305,6 +1305,9 @@ class IdentifyPanel:
         if self.components['compare_var'].get():
             self._identify_selected_similar_faces(person_data)
         
+        # Clear the form after successful identification
+        self._clear_form()
+        
         # Move to next face
         self._go_next()