diff --git a/utils/datasets.py b/utils/datasets.py
index 92b59f5b..49703a91 100755
--- a/utils/datasets.py
+++ b/utils/datasets.py
@@ -137,20 +137,20 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
 
         # Load labels
         if os.path.isfile(label_path):
-            # labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 5)  # SLOWER
             with open(label_path, 'r') as file:
                 lines = file.read().splitlines()
-                labels0 = np.array([x.split() for x in lines], dtype=np.float32)
-            # If label file is empty
-            if labels0.size is 0:
+
+            x = np.array([x.split() for x in lines], dtype=np.float32)
+            if x.size is 0:
+                # Empty labels file
                 labels = np.array([])
             else:
                 # Normalized xywh to pixel xyxy format
-                labels = labels0.copy()
-                labels[:, 1] = ratio * w * (labels0[:, 1] - labels0[:, 3] / 2) + padw
-                labels[:, 2] = ratio * h * (labels0[:, 2] - labels0[:, 4] / 2) + padh
-                labels[:, 3] = ratio * w * (labels0[:, 1] + labels0[:, 3] / 2) + padw
-                labels[:, 4] = ratio * h * (labels0[:, 2] + labels0[:, 4] / 2) + padh
+                labels = x.copy()
+                labels[:, 1] = ratio * w * (x[:, 1] - x[:, 3] / 2) + padw
+                labels[:, 2] = ratio * h * (x[:, 2] - x[:, 4] / 2) + padh
+                labels[:, 3] = ratio * w * (x[:, 1] + x[:, 3] / 2) + padw
+                labels[:, 4] = ratio * h * (x[:, 2] + x[:, 4] / 2) + padh
         else:
             labels = np.array([])