Address Scott's comments

Author: NicolasHug

docs/source/transforms.rst

@@ -117,7 +117,7 @@ In Torchvision 0.15 (March 2023), we released a new set of transforms available
 in the ``torchvision.transforms.v2`` namespace. These transforms have a lot of
 advantages compared to the v1 ones (in ``torchvision.transforms``):
 
-- They can transform images **but also** bounding boxes, masks, videos and
+- They can transform images **and also** bounding boxes, masks, videos and
   keypoints. This provides support for tasks beyond image classification:
   detection, segmentation, video classification, pose estimation, etc. See
   :ref:`sphx_glr_auto_examples_transforms_plot_transforms_getting_started.py`

torchvision/tv_tensors/_keypoints.py

@@ -17,8 +17,8 @@ class KeyPoints(TVTensor):
 
     - `Polygonal chains <https://en.wikipedia.org/wiki/Polygonal_chain>`_,
       including polylines, Bézier curves, etc., which can be of shape
-      ``[N_chains, N_points, 2]``
-    - Polygons, which can be of shape ``[N_polygons, N_points, 2]``
+      ``[N_chains, N_points, 2]``.
+    - Polygons, which can be of shape ``[N_polygons, N_points, 2]``.
     - Skeletons, which can be of shape ``[N_skeletons, N_bones, 2, 2]`` for
       pose-estimation models.