Visual Question Answering v2.0

Visual Question Answering (VQA) v2.0 is a dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer. It is the second version of the VQA dataset.

• 265,016 images (COCO and abstract scenes)
• At least 3 questions (5.4 questions on average) per image
• 10 ground truth answers per question
• 3 plausible (but likely incorrect) answers per question
• Automatic evaluation metric

The first version of the dataset was released in October 2015.