Add transforms doc to more datasets

torchvision/datasets/coco.py

@@ -14,6 +14,8 @@ class CocoCaptions(VisionDataset):
             and returns a transformed version. E.g, ``transforms.ToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
+        transforms (callable, optional): A function/transform that takes input sample and its target as entry
+            and returns a transformed version.
 
     Example:
 
@@ -86,6 +88,8 @@ class CocoDetection(VisionDataset):
             and returns a transformed version. E.g, ``transforms.ToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
+        transforms (callable, optional): A function/transform that takes input sample and its target as entry
+            and returns a transformed version.
     """
 
     def __init__(self, root, annFile, transform=None, target_transform=None, transforms=None):

torchvision/datasets/sbd.py

@@ -36,7 +36,7 @@ class SBDataset(VisionDataset):
         download (bool, optional): If true, downloads the dataset from the internet and
             puts it in root directory. If dataset is already downloaded, it is not
             downloaded again.
-        xy_transform (callable, optional): A function/transform that takes input sample and its target as entry
+        transforms (callable, optional): A function/transform that takes input sample and its target as entry
             and returns a transformed version. Input sample is PIL image and target is a numpy array
             if `mode='boundaries'` or PIL image if `mode='segmentation'`.
     """

torchvision/datasets/voc.py

@@ -66,6 +66,8 @@ class VOCSegmentation(VisionDataset):
             and returns a transformed version. E.g, ``transforms.RandomCrop``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
+        transforms (callable, optional): A function/transform that takes input sample and its target as entry
+            and returns a transformed version.
     """
 
     def __init__(self,
@@ -145,6 +147,8 @@ class VOCDetection(VisionDataset):
             and returns a transformed version. E.g, ``transforms.RandomCrop``
         target_transform (callable, required): A function/transform that takes in the
             target and transforms it.
+        transforms (callable, optional): A function/transform that takes input sample and its target as entry
+            and returns a transformed version.
     """
 
     def __init__(self,