This choice of task allows us to assess the importance of each type of visual information in human semantic processing.
we perform two experiments: (1) using the Visual Genome (Krishna et al., 2016) dataset of images where objects are manually annotated with bounding boxes, and (2) using images retrieved from Google Image Search and automatically segmenting them using a Faster R-CNN (FRCNN) model (Ren et al., 2015).