Dataset Groups Activity Stream VQA 1.0 The VQA 1.0 dataset is a large-scale dataset for visual question answering, containing 15,000 images with 50,000 questions. BibTex: @dataset{Vahid_Kazemi_and_Ali_Elqursh_2024, abstract = {The VQA 1.0 dataset is a large-scale dataset for visual question answering, containing 15,000 images with 50,000 questions.}, author = {Vahid Kazemi and Ali Elqursh}, doi = {10.57702/2o9tokdu}, institution = {No Organization}, keyword = {'Image Captioning', 'Question Answering', 'Visual Question Answering'}, month = {dec}, publisher = {TIB}, title = {VQA 1.0}, url = {https://service.tib.eu/ldmservice/dataset/vqa-1-0}, year = {2024} }