A PNG image where each pixel in the mask
represents the category in which the pixel in
the original image was predicted to belong to.
The size of this image will be the same as the
original image. The mapping between the
AnntoationSpec and the color can be found in
model's metadata. The model will choose the most
likely category and if none of the categories
reach the confidence threshold, the pixel will
be marked as background.
A one channel image which is encoded as an
8bit lossless PNG. The size of the image will be
the same as the original image. For a specific
pixel, darker color means less confidence in
correctness of the cateogry in the categoryMask
for the corresponding pixel. Black means no
confidence and white means complete confidence.