diff --git a/torchvision/utils.py b/torchvision/utils.py
index ea1c17230b7..1ad78fe14c3 100644
--- a/torchvision/utils.py
+++ b/torchvision/utils.py
@@ -336,13 +336,13 @@ def draw_keypoints(
 
     """
     Draws Keypoints on given RGB image.
-    The values of the input image should be uint8 between 0 and 255.
+    The image values should be uint8 in [0, 255] or float in [0, 1].
     Keypoints can be drawn for multiple instances at a time.
 
     This method allows that keypoints and their connectivity are drawn based on the visibility of this keypoint.
 
     Args:
-        image (Tensor): Tensor of shape (3, H, W) and dtype uint8.
+        image (Tensor): Tensor of shape (3, H, W) and dtype uint8 or float.
         keypoints (Tensor): Tensor of shape (num_instances, K, 2) the K keypoint locations for each of the N instances,
             in the format [x, y].
         connectivity (List[Tuple[int, int]]]): A List of tuple where each tuple contains a pair of keypoints
@@ -363,7 +363,7 @@ def draw_keypoints(
             For more details, see :ref:`draw_keypoints_with_visibility`.
 
     Returns:
-        img (Tensor[C, H, W]): Image Tensor of dtype uint8 with keypoints drawn.
+        img (Tensor[C, H, W]): Image Tensor with keypoints drawn.
     """
 
     if not torch.jit.is_scripting() and not torch.jit.is_tracing():