SemArt
Image Caption
Classification
Aesthetics
|...
许可协议: CC BY-NC 4.0

Overview

Automatic art analysis has been mostly focused on classifying artworks into different artistic styles. However, understanding an artistic representation involves more complex processes, such as identifying the elements in the scene or recognizing author influences. We present SemArt, a multi-modal dataset for semantic art understanding. SemArt is a collection of fine-art painting images in which each image is associated to a number of attributes and a textual artistic comment, such as those that appear in art catalogues or museum collections.

Citation

Please use the following citation when referencing the dataset:

@InProceedings{Garcia2018How,
   author    = {Noa Garcia and George Vogiatzis},
   title     = {How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval},
   booktitle = {Proceedings of the European Conference in Computer Vision Workshops},
   year      = {2018},
}

License

CC BY-NC 4.0

数据概要
数据格式
Image,
数据量
21.384K
文件大小
3.1GB
发布方
Aston University
Aston University is a public research university situated in the city centre of Birmingham, England.
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