Wikiart dataset

WikiArt Emotions is a dataset of 4,105 pieces of art (mostly paintings) that has annotations for emotions evoked in the observer. The pieces of art were ...
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sd-wikiart-v2 is a stable diffusion model that has been fine-tuned on the wikiart dataset to generate artistic images in different style and genres.
WikiArt (formerly known as WikiPaintings) is an online, user-editable visual art ... also trained on WikiArt dataset, to generate new works that does not fit ...
Cite (ACL):: Saif Mohammad and Svetlana Kiritchenko. 2018. WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art. In Proceedings of the Eleventh ...
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The dataset, which we refer to as the WikiArt Emotions Dataset, can help answer several compelling questions, such as: what makes art evocative, ...
Download painter data from the WikiArt database and prepare a balanced dataset and split the images into train, test, and validation sets.
B. Artwork datasets a) WikiArtSubset: For artworks, we use the publically available Wikiart dataset [21] containing about 80,000 images.
This dataset of ~100K paintings and associated genre and style labels (and free-form tags) is scraped from http://wikipaintings.org.
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This is the largest public dataset for age prediction to date. We pose the age regression problem as a deep classification problem followed by a softmax ...
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version of the WikiArt dataset contains 81,446 artworks. ... more sentimental than many captioning datasets by a large margin. For example, this classifier ...
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