Omkar2118/datasets huggingface dataset:
Visual Genome

**Visual Genome** contains Visual Question Answering data in a multi-choice setting. It consists of 101,174 images from MSCOCO with 1.7 million QA pairs, 17 questions per image on average. Compared to the Visual Question Answering dataset, Visual Genome represents a more balanced distribution over 6 question types: What, Where, When, Who, Why and How. The Visual Genome dataset also presents 108K images with densely annotated objects, attributes and relationships.

Source: [RaAM: A Relation-aware Attention Model for Visual Question Answering](https://arxiv.org/abs/1903.12314)
Image Source: [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://paperswithcode.com/paper/visual-genome-connecting-language-and-vision/)

Introducing paper: Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations