Texture is a more informative feature than shape in the datasets used. TL;DR; Logical reasoning isn't based on a "prepondernace of informative." Human-like ima

Texture is a more informative feature than shape in the datasets used. TL;DR; Logical reasoning isn't based on a "prepondernace of informative." Human-like image-recognition seems, to me, to quire both sort-of statistical reasoning, which depends on the preponderance of information and logical reasoning, which doesn't (not directly). That's seems sort-of true but "Informative" has a number of different implication. It seems pretty inevitable that a huge image dataset is going to carry the most data in the form of textures. The thing, a human being can (often) extract considerable meaning from an image of a stick figure or a black and white outline of a big cat, neither of which involves that much data. Effectively, human image recognition is able to both use texture-qualities as a rough guestimate for the source of an image but also look at the overall image structure and see "differences that make a difference". I mean, I can look at a puzzle piece and determine it probably goes in particular area but that's only one facility, "knowing" what an image "is", involves more.