diff --git a/frigate/util/model.py b/frigate/util/model.py
index d7fbc82997..3a9f6159b0 100644
--- a/frigate/util/model.py
+++ b/frigate/util/model.py
@@ -148,27 +148,17 @@ def __post_process_multipart_yolo(
                     bw = ((dw * 2.0) ** 2) * anchor_w
                     bh = ((dh * 2.0) ** 2) * anchor_h
 
-                    x1 = max(0, bx - bw / 2) / width
-                    y1 = max(0, by - bh / 2) / height
-                    x2 = min(width, bx + bw / 2) / width
-                    y2 = min(height, by + bh / 2) / height
+                    x1 = max(0, bx - bw / 2)
+                    y1 = max(0, by - bh / 2)
+                    x2 = min(width, bx + bw / 2)
+                    y2 = min(height, by + bh / 2)
 
                     all_boxes.append([x1, y1, x2, y2])
                     all_scores.append(conf)
                     all_class_ids.append(class_id)
 
-    formatted_boxes = [
-        [
-            int(x1 * width),
-            int(y1 * height),
-            int((x2 - x1) * width),
-            int((y2 - y1) * height),
-        ]
-        for x1, y1, x2, y2 in all_boxes
-    ]
-
     indices = cv2.dnn.NMSBoxes(
-        bboxes=formatted_boxes,
+        bboxes=all_boxes,
         scores=all_scores,
         score_threshold=0.4,
         nms_threshold=0.4,
@@ -181,7 +171,14 @@ def __post_process_multipart_yolo(
             class_id = all_class_ids[idx]
             conf = all_scores[idx]
             x1, y1, x2, y2 = all_boxes[idx]
-            results[i] = [class_id, conf, y1, x1, y2, x2]
+            results[i] = [
+                class_id,
+                conf,
+                y1 / height,
+                x1 / width,
+                y2 / height,
+                x2 / width,
+            ]
 
     return np.array(results, dtype=np.float32)