12 datasets found

The dataset used for learning visual perception of forest trails for mobile robots.

The dataset consists of simultaneous recordings of 148 neurons from the primary visual cortex (area V1) of an anesthetized macaque.

The SEED dataset contains 15 subjects recorded while watching movie clips designated with a negative/neutral/positive emotion label.

Bold5000, a public fmri dataset while viewing 5000 visual images.

The dataset used in the paper for vision-and-language navigation tasks.

The dataset used in the study on scale and translation-invariance for novel objects in human vision.

The dataset used in the study on translation tolerance in human visual pattern recognition.

The dataset used in the study on translation tolerance following extreme displacements.

The Natural Scenes Dataset (NSD) is a large-scale fMRI dataset used for visual decoding. It features in-depth recordings of brain activities from 8 participants who passively...

Bold5000, a public fMRI dataset while viewing 5000 visual images

MME: A comprehensive evaluation benchmark for multimodal large language models

The Viper dataset is a visual perception benchmark to facilitate both low-level and high-level vision tasks, e.g., optical flow and semantic segmentation. It consists of videos...