Computer Science > Computer Vision and Pattern Recognition
[Submitted on 16 Aug 2021 (v1), last revised 18 Oct 2021 (this version, v2)]
Title:WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
View PDFAbstract:We introduce a novel dataset for architectural style classification, consisting of 9,485 images of church buildings. Both images and style labels were sourced from Wikipedia. The dataset can serve as a benchmark for various research fields, as it combines numerous real-world challenges: fine-grained distinctions between classes based on subtle visual features, a comparatively small sample size, a highly imbalanced class distribution, a high variance of viewpoints, and a hierarchical organization of labels, where only some images are labeled at the most precise level. In addition, we provide 631 bounding box annotations of characteristic visual features for 139 churches from four major categories. These annotations can, for example, be useful for research on fine-grained classification, where additional expert knowledge about distinctive object parts is often available. Images and annotations are available at: this https URL
Submission history
From: Björn Barz [view email][v1] Mon, 16 Aug 2021 08:33:12 UTC (22,933 KB)
[v2] Mon, 18 Oct 2021 19:44:35 UTC (22,979 KB)
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