Update dataloaders.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

utils/dataloaders.py

@@ -553,11 +553,7 @@ def __init__(
         rank=-1,
         seed=0,
     ):
-        """
-        Initializes the YOLOv5 dataset loader, handling images and their labels, caching, and preprocessing.
-
-        See https://docs.ultralytics.com/yolov5/tutorials/train_custom_data
-        """
+        """Initializes the YOLOv5 dataset loader, handling images and their labels, caching, and preprocessing."""
         self.img_size = img_size
         self.augment = augment
         self.hyp = hyp
@@ -1357,7 +1353,7 @@ def create_classification_dataloader(
     path, imgsz=224, batch_size=16, augment=True, cache=False, rank=-1, workers=8, shuffle=True
 ):
     # Returns Dataloader object to be used with YOLOv5 Classifier
-    """Creates a DataLoader for image classification, supporting caching, augmentation, and distributed training (https://docs.ultralytics.com/yolov5/tutorials/train_custom_data)."""
+    """Creates a DataLoader for image classification, supporting caching, augmentation, and distributed training."""
     with torch_distributed_zero_first(rank):  # init dataset *.cache only once if DDP
         dataset = ClassificationDataset(root=path, imgsz=imgsz, augment=augment, cache=cache)
     batch_size = min(batch_size, len(dataset))