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WikiArt Dataset · cs-chan/artgan/tree · GitHub
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WikiArt Dataset : Free Download, Borrow, and Streaming ...
The WikiArt dataset can be used only for non-commercial research purpose. 2. The images in the WikiArt dataset were obtained from WikiArt.org. The authors are neither responsible for the content nor the meaning of these images. 3.
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The Wikiart dataset - Part 1 (2019) - Deep Learning Course ...
I want to go for a rather challenging dataset and have stumbled upon the wikiart.org dataset. It is the biggest dataset of paintings and has been in use in some papers. However, I cannot for the life of me find a way to download it fast. What I have tried: Download a version of the Wikiart Dataset used by Chan et al in their ArtGAN paper presented at ICIP2016 presented on their GitHub ...
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The Non-Treachery of Dataset. ArtGAN and WikiArt: Making ...
The Wikiart paintings dataset has a collection of more than 80,000 fine-art paintings from more than 1,000 artists, ranging from fifteen century to modern times. This dataset contains 27 different styles and 45 different genres. […] all paintings are used for style classification. Meanwhile, only 10 genres with more than 1,500 paintings are ...
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WikiArt Emotions Dataset – John Laudun
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 selected from WikiArt.org’s collection for twenty-two categories (impressionism, realism, etc.) from four western styles (Renaissance Art, Post-Renaissance Art, Modern Art, and Contemporary Art).
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WikiArt Emotions: An Annotated Dataset of Emotions Evoked ...
WikiArt Emotions Dataset, the Mona Lisa is labeled as evoking happiness, love, and trust; its average rating is 2:1 (in the range of 3 to 3). 3. WikiArt Emotions Dataset We now describe how we created the WikiArt Emotions Dataset. 3.1. Compiling the Art As of January 2018, WikiArt.org had 151,151 pieces of art
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Artworks by genre - WikiArt.org
A genre system divides artworks according to depicted themes and objects. A classical hierarchy of genres was developed in European culture by the 17th century. It ranked genres in high – history painting and portrait, - and low – genre painting, landscape and still life. This hierarchy was based on the notion of man as the measure of all things.
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Painter by Numbers | Kaggle
Many of the images in this dataset were obtained from wikiart.org. Additional paintings were provided by artists whose contributions will be acknowledged at the close of the competition. This playground competition and its datasets were prepared by Small Yellow Duck (Kiri Nichol). This includes the design of the pairwise-evaluation scheme.
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Painter by Numbers | Kaggle
Edited 11/4/2016: After the competition ended, the author (small little duck) has made the dataset public, adding the solution file and the data info file into this dataset. all_data_info.csv 'artist' - artist name 'date' - year painting was created, if available 'genre' - genre information from wikiart 'pixelsx', 'pixelsy' - dimensions of image
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