diff --git a/main.py b/main.py
index b878140..797b7ab 100644
--- a/main.py
+++ b/main.py
@@ -37,7 +37,7 @@ MODEL_PATH = 'runs/detect/memory_module_detection/weights/best.pt'
 detector = MemoryModuleDetector(MODEL_PATH)
 
 # Hardcoded test image path
-HARDCODED_IMAGE_PATH = 'training/memory/out1.png'
+HARDCODED_IMAGE_PATH = 'training/no_memory/out1.png'
 
 def allowed_file(filename):
     """Check if file extension is allowed."""
@@ -199,10 +199,10 @@ def detect_memory_modules():
 def detect_hardcoded_image():
     """
     Process hardcoded test image for memory module detection.
-    
+
     Optional query parameters:
-    - confidence: confidence threshold (default: 0.5)
-    
+    - confidence: confidence threshold (default: 0.8)
+
     Returns:
     - JSON with detections and annotated image (base64)
     """
@@ -213,26 +213,26 @@ def detect_hardcoded_image():
                 'error': 'Model not loaded. Please train the model first.',
                 'success': False
             }), 500
-        
+
         # Check if hardcoded image exists
         if not os.path.exists(HARDCODED_IMAGE_PATH):
             return jsonify({
                 'error': f'Hardcoded test image not found at {HARDCODED_IMAGE_PATH}',
                 'success': False
             }), 404
-        
+
         # Get confidence threshold from query parameters (default 80%)
         conf_threshold = float(request.args.get('confidence', 0.8))
-        
+
         # Run detection
         detections, annotated_image = detector.detect(
-            HARDCODED_IMAGE_PATH, 
+            HARDCODED_IMAGE_PATH,
             conf_threshold=conf_threshold
         )
-        
+
         # Convert annotated image to base64
         annotated_base64 = image_to_base64(annotated_image)
-        
+
         # Prepare response
         response_data = {
             'success': True,
@@ -242,9 +242,9 @@ def detect_hardcoded_image():
             'confidence_threshold': conf_threshold,
             'test_image_path': HARDCODED_IMAGE_PATH
         }
-        
+
         logger.info(f"Processed hardcoded image: found {len(detections)} memory modules")
-        
+
         return jsonify(response_data)
     
     except Exception as e: