Researchers have developed DODA, a new web application designed to streamline the search for image datasets relevant to aesthetics research. This tool addresses the challenge of fragmented dataset sharing across platforms like OSF, GitHub, and Dropbox by providing a centralized, searchable database. DODA offers comprehensive information on dataset size, resolution, annotation methods, and quantitative image properties, aiming to facilitate collaboration and efficient dataset selection within the empirical and computational aesthetics fields. AI
IMPACT Facilitates access to datasets for machine learning research in computational aesthetics.
RANK_REASON The item describes a new database and web application for research datasets, presented in an academic paper format. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXivLabs
- CatalyzeX Code Finder for Papers
- Connected Papers
- CORE Recommender
- DagsHub
- DODA
- Dropbox
- GitHub
- Gotit.pub
- Hugging Face
- Influence Flower
- Litmaps
- Open Science Framework
- ScienceCast
- scite Smart Citations
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