IllusionAnimals Visual Illusion VQA Dataset

The IllusionAnimals dataset is a FiftyOne dataset containing 2k samples, created by researchers from the Iran University of Science and Technology in 2024.Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual IllusionsThe dataset contains 10 animal categories and one no-illusion category, with an image resolution of 512×512 pixels, and is used to evaluate the ability of multimodal models in identifying and explaining animal-based visual illusions.