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New Database Simplifies Search for Aesthetics Research Datasets

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Database Simplifies Search for Aesthetics Research Datasets

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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]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Lisa Ko{\ss}mann, Ralf Bartho, Christoph Redies, Johan Wagemans ·

    DODA: A Database of Datasets for Aesthetics Research

    arXiv:2608.00089v1 Announce Type: cross Abstract: With rapid growth in the fields of empirical and computational aesthetics we have seen a vast increase in large image datasets annotated for aesthetics. As the image databases differ widely in many respects (e.g., different standa…

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