pr comments

keras_cv/models/segmentation/segformer/segformer.py

@@ -29,10 +29,7 @@ class SegFormer(Task):
             `tf.keras.Model` that implements the `pyramid_level_inputs`
             property with keys "P2", "P3", "P4", and "P5" and layer names as
             values.
-        num_classes: int, the number of classes for the detection model. Note
-            that the `num_classes` doesn't contain the background class, and the
-            classes from the data should be represented by integers with range
-            [0, `num_classes`).
+        num_classes: int, the number of classes for the detection model, including the background class.
         projection_filters: int, default 256, number of filters in the convolution layer
             projecting the concatenated features into a segmentation map.