An ecologically motivated image dataset for deep learning yields better models of human vision.

ABSTRACT: Deep neural networks provide the current best models of visual information processing in the primate brain. Drawing on work from computer vision, the most commonly used networks are pretrained on data from the ImageNet Large Scale Visual Recognition Challenge. This dataset comprises images from 1,000 categories, selected to provide a challenging testbed for automated visual object recognition systems. Moving beyond this common practice, we here introduce ecoset, a collection of >1.5 million images from 565 basic-level categories selected to better capture the distribution of objects relevant to humans. Ecoset categories were chosen to be both frequent in linguistic usage and concrete, thereby mirroring important physical objects in the world. We test the effects of training on this

SUBMITTER: Mehrer J 

PROVIDER: S-EPMC7923360 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature