Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.



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.


Target Group:

Author of the review:
Spiros Sirmakessis
University of Peloponnese


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