diff --git a/sort.py b/sort.py
index c246068..3bc5097 100644
--- a/sort.py
+++ b/sort.py
@@ -4,6 +4,7 @@ from torchvision import transforms
 from PIL import Image
 import os
 import shutil
+import random
 
 from model import (CropLowerRightTriangle, GarageDoorCNN, TRIANGLE_CROP_WIDTH,
                    TRIANGLE_CROP_HEIGHT, RESIZE_DIM)
@@ -45,11 +46,16 @@ def sort_images():
 
     # --- Process Images ---
     print(f"Scanning images in {SOURCE_DIR}...")
+
+    # Get and shuffle filenames
+    filenames = [f for f in os.listdir(SOURCE_DIR) if os.path.isfile(os.path.join(SOURCE_DIR, f))]
+    random.shuffle(filenames)
+    total_files = len(filenames)
+
     with torch.no_grad():
-        for filename in os.listdir(SOURCE_DIR):
+        for i, filename in enumerate(filenames):
             file_path = os.path.join(SOURCE_DIR, filename)
-            if os.path.isfile(file_path):
-                try:
+            try:
                     image = Image.open(file_path).convert('RGB')
                     
                     # Apply transformations
@@ -65,12 +71,13 @@ def sort_images():
                     confidence, pred_idx = torch.max(probabilities, 1)
                     
                     if pred_idx.item() == TARGET_CLASS_IDX and confidence.item() > CONFIDENCE_THRESHOLD:
-                        print(f"Found 'open' image: {file_path} with confidence: {confidence.item():.4f}")
+                        progress = f"({i + 1}/{total_files} - {(i + 1) / total_files * 100:.1f}%)"
+                        print(f"{progress} Found 'open' image: {file_path} with confidence: {confidence.item():.4f}")
                         # Copy file
                         shutil.copy(file_path, os.path.join(DEST_DIR, filename))
 
-                except Exception as e:
-                    print(f"Could not process file {file_path}: {e}")
+            except Exception as e:
+                print(f"Could not process file {file_path}: {e}")
     
     print("Sorting complete.")