diff --git a/frigate/embeddings/lpr/lpr.py b/frigate/embeddings/lpr/lpr.py
index 2b0ef0da6..a186db8df 100644
--- a/frigate/embeddings/lpr/lpr.py
+++ b/frigate/embeddings/lpr/lpr.py
@@ -144,13 +144,14 @@ class LicensePlateRecognition:
         return self.ctc_decoder(outputs)
 
     def process_license_plate(
-        self, image: np.ndarray
+        self, image: np.ndarray, event_id: str = ""
     ) -> Tuple[List[str], List[float], List[int]]:
         """
         Complete pipeline for detecting, classifying, and recognizing license plates in the input image.
 
         Args:
             image (np.ndarray): The input image in which to detect, classify, and recognize license plates.
+            event_id (str): The ID of the event associated with this license plate detection.
 
         Returns:
             Tuple[List[str], List[float], List[int]]: Detected license plate texts, confidence scores, and areas of the plates.
@@ -193,14 +194,14 @@ class LicensePlateRecognition:
                 area = height * width
 
                 average_confidence = conf
+                avg_confidence = sum(average_confidence) / len(average_confidence) if average_confidence else 0
 
                 # Save debug image
                 try:
                     save_image = cv2.cvtColor(
                         rotated_images[original_idx], cv2.COLOR_RGB2BGR
                     )
-                    confidence_value = average_confidence[0] if average_confidence and len(average_confidence) > 0 else 0
-                    filename = f"{plate}_{int(confidence_value * 100)}_{area}.jpg"
+                    filename = f"{plate}_{int(avg_confidence * 100)}_{event_id}.jpg" if event_id else f"{plate}_{int(avg_confidence * 100)}.jpg"
                     cv2.imwrite(os.path.join(self.debug_dir, filename), save_image)
                 except Exception as e:
                     logger.warning(f"Failed to save debug image: {e}")
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index e221bd146..c893e4f4b 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -443,7 +443,7 @@ class EmbeddingMaintainer(threading.Thread):
 
         # run detection, returns results sorted by confidence, best first
         license_plates, confidences, areas = (
-            self.license_plate_recognition.process_license_plate(license_plate_frame)
+            self.license_plate_recognition.process_license_plate(license_plate_frame, id)
         )
 
         logger.debug(f"Text boxes: {license_plates}")
diff --git a/web/src/pages/LPRDebug.tsx b/web/src/pages/LPRDebug.tsx
index 9a6253252..a582b8239 100644
--- a/web/src/pages/LPRDebug.tsx
+++ b/web/src/pages/LPRDebug.tsx
@@ -157,11 +157,11 @@ type LPRAttemptProps = {
 function LPRAttempt({ attempt, config, onRefresh }: LPRAttemptProps) {
   const [showDialog, setShowDialog] = useState(false);
   const data = useMemo(() => {
-    const parts = attempt.split("-");
+    const parts = attempt.split("_");
     return {
-      eventId: `${parts[0]}-${parts[1]}`,
-      plate: parts[2] || "Text not extracted",
-      score: parts[3] || "0",
+      plate: parts[0] || "Text not extracted",
+      score: parts[1] || "0",
+      eventId: parts[2]?.replace(".jpg", "") || null,
     };
   }, [attempt]);