Published January 18, 2024 | Version v1
Dataset Open

Emotion Recognition in Smell-Related Artworks Dataset

Description

Extract all the files and move to specified directory.

github: https://github.com/vishalp02/emotic-style/tree/main

style.rar
   - This folder contains a collection of images sourced from the artwork dataset. These images are used in style transfer process as styles.

emotic.rar
   - In this folder, you'll find the Emotic dataset, exactly as provided by the authors of Emotic.

main data.rar
   - The contents of this folder comprise a dataset resulting from style transfer methods. Emotic dataset images were used as content, while artwork images served as the style. The output is a unique collection representing a fusion of Emotic and artistic styles.

inference_data.rar
   - This folder contains our annotated image dataset for inference.

Files

README.txt

Files (12.5 GB)

Name Size
md5:9044b6454594afcbac928aca123d95aa
3.6 GB Download
md5:7352cf6bf9938b69d6dc3b0ba708ea96
749.9 MB Download
md5:5ba08c9270321333a811c956ac8b1f1c
1.9 GB Download
md5:28dc1fbf986f3b6cb9d322e0aaac7fd3
763 Bytes Preview Download
md5:fdd207f8b4f88bc19057c9ea3d3760f4
6.2 GB Download

Additional details

Funding

European Commission
ODEUROPA - ODEUROPA: Negotiating Olfactory and Sensory Experiences in Cultural Heritage Practice and Research 101004469

References

  • Kosti, Ronak, et al. "EMOTIC: Emotions in Context dataset." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2017.
  • small yellow duck, Wendy Kan. (2016). Painter by Numbers. Kaggle. https://kaggle.com/competitions/painter-by-numbers