A Study on Human Image Segmentation for Evaluation of Segmentation Methods
Yll Haxhimusa · IFAC-PapersOnLine · 2022
In this paper we pose the question of how well segmentation of images done by humans are well suited to be used as ground truth in training and evaluating image segmentation methods. In general we show that humans prefer image segmentation done by other humans, even though there are cases, where subjects reject segmentation done by other humans. In fact we found cases in which humans gave a higher marks to image segmentation by the algorithms then of those done by humans. We also show that humans do not like segmentation methods that tend to produce regions having (approximately) same sizes, pixel-wise. They preferred segmentation with variation in region size.