Artemisdataset
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About Artemisdataset
ArtEmis is a large-scale dataset designed to explore the emotional impact of visual art through affective language. It provides insights into how viewers emotionally respond to artworks and offers machine learning models that generate explanations for these emotional responses.
Explore the emotional connections between visual art and language through a comprehensive dataset.
What You Can Do
- Access a large dataset of artworks and emotional attributions
- Utilize machine learning models for emotion analysis
- View examples of neural speaker outputs for artworks
- Download supplemental materials and code
Frequently Asked Questions
What is the ArtEmis dataset?
The ArtEmis dataset contains 455,000 emotion attributions and explanations related to 80,000 artworks, focusing on the emotional responses elicited by visual art.
How can I use the ArtEmis dataset?
Researchers and developers can access the dataset for studies in affective computing and to train machine learning models that analyze emotional responses to visual stimuli.
What types of artworks are included in the dataset?
The dataset includes various forms of visual art, such as paintings and artistic photographs sourced from WikiArt.
Are there any examples of the machine learning models in action?
Yes, the website provides qualitative results showcasing neural speaker productions that reflect emotional responses to unseen artworks.
Is the dataset available for free?
Yes, the ArtEmis dataset is available for public access, allowing users to download and utilize it for research purposes.