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SemArt
创建来自Hello Dataset / Robert
概要
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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

数据集信息
应用场景Aesthetics
标注类型Image CaptionClassification
LicenseCC BY-NC 4.0
更新时间2021-03-24 22:48:28
数据概要
数据格式Image
数据数量21.38k
文件大小3MB
标注数量0
版权归属方
Aston University
标注方
未知
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