diff --git a/tinymm/ALBEF/dataset.py b/tinymm/ALBEF/dataset.py
index 7763566..af98da2 100644
--- a/tinymm/ALBEF/dataset.py
+++ b/tinymm/ALBEF/dataset.py
@@ -4,13 +4,44 @@
 from tinymm.CLIP.dataset import CC3MList, CC3MDataset
 
 
+def aug_space_without_color(num_bins: int, image_size: tuple[int, int]):
+    return {
+        # op_name: (magnitudes, signed)
+        "Identity": (torch.tensor(0.0), False),
+        "ShearX": (torch.linspace(0.0, 0.3, num_bins), True),
+        "ShearY": (torch.linspace(0.0, 0.3, num_bins), True),
+        "TranslateX": (
+            torch.linspace(0.0, 150.0 / 331.0 * image_size[1], num_bins),
+            True,
+        ),
+        "TranslateY": (
+            torch.linspace(0.0, 150.0 / 331.0 * image_size[0], num_bins),
+            True,
+        ),
+        "Rotate": (torch.linspace(0.0, 30.0, num_bins), True),
+        "Brightness": (torch.linspace(0.0, 0.9, num_bins), True),
+        # "Color": (torch.linspace(0.0, 0.9, num_bins), True),
+        "Contrast": (torch.linspace(0.0, 0.9, num_bins), True),
+        "Sharpness": (torch.linspace(0.0, 0.9, num_bins), True),
+        "Posterize": (
+            8 - (torch.arange(num_bins) / ((num_bins - 1) / 4)).round().int(),
+            False,
+        ),
+        "Solarize": (torch.linspace(255.0, 0.0, num_bins), False),
+        "AutoContrast": (torch.tensor(0.0), False),
+        "Equalize": (torch.tensor(0.0), False),
+    }
+
+
 class ALBEFDataset(CC3MDataset):
     def __init__(self, id_to_filename, lst, seq_len):
         super().__init__(id_to_filename, lst, seq_len)
+        ra = v1.RandAugment()
+        ra._augmentation_space = aug_space_without_color
         self.transforms = v1.Compose(
             [
                 v1.RandomCrop((224, 224)),
-                # v1.RandAugment(),
+                ra,
             ]
         )