Omkar2118/datasets huggingface dataset:
VIS30K

We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of figures and tables from each track
of the IEEE Visualization conference series (Vis, SciVis, InfoVis, VAST). VIS30K’s comprehensive coverage of the scientific literature in
visualization not only reflects the progress of the field but also enables researchers to study the evolution of the state-of-the-art and to find
relevant work based on graphical content. We describe the dataset and our semi-automatic collection process, which couples
convolutional neural networks (CNN) with curation. Extracting figures and tables semi-automatically allows us to verify that no images are
overlooked or extracted erroneously. To improve quality further, we engaged in a peer-search process for high-quality figures from early
IEEE Visualization papers.

Introducing paper: VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications