Recently, we drew on evidence from neuroimaging, computational modelling, and neuropsychology to suggest that global shape information may be computed in the dorsal visual pathway and transmitted to the ventral pathway to support object recognition. In their commentary, Goodale and Milner argued that this framework was inconsistent with the response profile of a single patient, RV, who had bilateral dorsal lesions. They found that RV could discriminate simple geometric figures from one another but had difficulty grasping these very same stimuli – a finding consistent with their characterization of the dorsal pathway as a system for processing visuomotor information. Goodale and Milner further argued that because the stimuli they used were matched along many visual dimensions, RV could only have discriminated them on the basis of global shape. Given that RV had lesions to the dorsal pathway, Goodale and Milner took their results to mean that the dorsal pathway is not involved in global shape perception. Here we evaluated this assumption by asking whether deep neural network models (DNNs), which have difficulty representing global shape, could also discriminate between these stimuli.