diff --git a/torchvision/models/googlenet.py b/torchvision/models/googlenet.py
index 7ead46a4ef6..476da0d8a53 100644
--- a/torchvision/models/googlenet.py
+++ b/torchvision/models/googlenet.py
@@ -287,7 +287,7 @@ def googlenet(pretrained: bool = False, progress: bool = True, **kwargs: Any) ->
         aux_logits (bool): If True, adds two auxiliary branches that can improve training.
             Default: *False* when pretrained is True otherwise *True*
         transform_input (bool): If True, preprocesses the input according to the method with which it
-            was trained on ImageNet. Default: *False*
+            was trained on ImageNet. Default: True if ``pretrained=True``, else False.
     """
     if pretrained:
         if "transform_input" not in kwargs:
diff --git a/torchvision/models/inception.py b/torchvision/models/inception.py
index 714e5e9e406..85236c6dfb3 100644
--- a/torchvision/models/inception.py
+++ b/torchvision/models/inception.py
@@ -422,7 +422,7 @@ def inception_v3(pretrained: bool = False, progress: bool = True, **kwargs: Any)
         aux_logits (bool): If True, add an auxiliary branch that can improve training.
             Default: *True*
         transform_input (bool): If True, preprocesses the input according to the method with which it
-            was trained on ImageNet. Default: *False*
+            was trained on ImageNet. Default: True if ``pretrained=True``, else False.
     """
     if pretrained:
         if "transform_input" not in kwargs:
diff --git a/torchvision/models/quantization/googlenet.py b/torchvision/models/quantization/googlenet.py
index d81f227b6f1..ff2352daa35 100644
--- a/torchvision/models/quantization/googlenet.py
+++ b/torchvision/models/quantization/googlenet.py
@@ -123,7 +123,7 @@ def googlenet(
         aux_logits (bool): If True, adds two auxiliary branches that can improve training.
             Default: *False* when pretrained is True otherwise *True*
         transform_input (bool): If True, preprocesses the input according to the method with which it
-            was trained on ImageNet. Default: *False*
+            was trained on ImageNet. Default: True if ``pretrained=True``, else False.
     """
     if pretrained:
         if "transform_input" not in kwargs:
diff --git a/torchvision/models/quantization/inception.py b/torchvision/models/quantization/inception.py
index 83665be370f..379f4da548e 100644
--- a/torchvision/models/quantization/inception.py
+++ b/torchvision/models/quantization/inception.py
@@ -197,7 +197,7 @@ def inception_v3(
         aux_logits (bool): If True, add an auxiliary branch that can improve training.
             Default: *True*
         transform_input (bool): If True, preprocesses the input according to the method with which it
-            was trained on ImageNet. Default: *False*
+            was trained on ImageNet. Default: True if ``pretrained=True``, else False.
     """
     if pretrained:
         if "transform_input" not in kwargs: