diff --git a/ultralytics/cfg/default.yaml b/ultralytics/cfg/default.yaml
index 7922f63592..182f661232 100644
--- a/ultralytics/cfg/default.yaml
+++ b/ultralytics/cfg/default.yaml
@@ -119,6 +119,7 @@ copy_paste_mode: "flip" # (str) the method to do copy_paste augmentation (flip,
 auto_augment: randaugment # (str) auto augmentation policy for classification (randaugment, autoaugment, augmix)
 erasing: 0.4 # (float) probability of random erasing during classification training (0-0.9), 0 means no erasing, must be less than 1.0.
 crop_fraction: 1.0 # (float) image crop fraction for classification (0.1-1), 1.0 means no crop, must be greater than 0.
+albumentations_p: 0.1 # (float) probability of albumentations augmentation during training (0.0-1.0), 0 means no albumentations, must be less than 1.0.
 
 # Custom config.yaml ---------------------------------------------------------------------------------------------------
 cfg: # (str, optional) for overriding defaults.yaml
diff --git a/ultralytics/data/augment.py b/ultralytics/data/augment.py
index 49bdc92235..088184bcfd 100644
--- a/ultralytics/data/augment.py
+++ b/ultralytics/data/augment.py
@@ -1841,13 +1841,13 @@ class Albumentations:
 
             # Transforms
             T = [
-                A.Blur(p=0.01),
-                A.MedianBlur(p=0.01),
-                A.ToGray(p=0.01),
-                A.CLAHE(p=0.01),
-                A.RandomBrightnessContrast(p=0.0),
-                A.RandomGamma(p=0.0),
-                A.ImageCompression(quality_lower=75, p=0.0),
+                A.Blur(p=self.p),
+                A.MedianBlur(p=self.p),
+                A.ToGray(p=self.p),
+                A.CLAHE(p=self.p),
+                A.RandomBrightnessContrast(p=self.p),
+                A.RandomGamma(p=self.p),
+                A.ImageCompression(quality_lower=75, p=self.p),
             ]
 
             # Compose transforms
@@ -2328,7 +2328,7 @@ def v8_transforms(dataset, imgsz, hyp, stretch=False):
         [
             pre_transform,
             MixUp(dataset, pre_transform=pre_transform, p=hyp.mixup),
-            Albumentations(p=1.0),
+            Albumentations(p=hyp.albumentations_p),
             RandomHSV(hgain=hyp.hsv_h, sgain=hyp.hsv_s, vgain=hyp.hsv_v),
             RandomFlip(direction="vertical", p=hyp.flipud),
             RandomFlip(direction="horizontal", p=hyp.fliplr, flip_idx=flip_idx),