Omkar2118/datasets huggingface dataset:
VOT2020

VOT2020 is a Visual Object Tracking benchmark for short-term tracking in RGB.
Computer Vision Arxiv Figures

**Computer Vision Arxiv Figures**  dataset consists of 88,645 images that more closely resemble the structure of our visual prompts. The dataset was collected from Arxiv, the open-access web archive for scholarly articles from a variety of academic fields.

Source: [Computer Vision Arxiv Figures](https://arxiv.org/pdf/2209.00647.pdf)
Image Source: [https://arxiv.org/pdf/2209.00647.pdf](https://arxiv.org/pdf/2209.00647.pdf)

Introducing paper: Visual Prompting via Image Inpainting
DocCVQA
Full name: Document Collection Visual Question Answering

DocCVQA is a Document Visual Question Answering dataset, where the questions are posed over a whole collection of 14,362 scanned documents. Therefore, the task can be seen as a retrieval-style evidence seeking task where given a question, the aim is to identify and retrieve all the documents in a large document collection that are relevant to answering this question as well as provide the answer.

Introducing paper: Document Collection Visual Question Answering