The biological investigation of a population’s shape diversity using digital images is typically reliant on geometrical morphometrics, which an approach based user-defined landmarks. In contrast to this traditional approach, the progress in deep learning has led numerous applications ranging from specimen identification object detection. Typically, these models tend become black boxes, limits u...