Computer vision as one of the major sub-domains in AI has demonstrated unprecedented growth in the past decade both academically and commercially. Getting access to high quality datasets is critical to conduct research or build products. Thanks to the vibrant community, more and more datasets are made publicly available. However, due to the lack of standard and unified distribution channels, it is difficult to find the datasets of interest easily as well as keeping up-to-date with the new release.

VisualData Discovery is created to change this. It is part of the overall VisualData platform with a mission to allow people working in the computer vision field to easily discover and share latest datasets with the community.

Spiros Sirmakessis

University of Peloponnese