DEArt: Dataset of European Art

DEArt is an object detection and pose classification dataset meant to be a reference for paintings between the XIIth and the XVIIIth centuries. It contains more than 15000 images, about 80% non-iconic, aligned with manual annotations for the bounding boxes identifying all instances of 69 classes as well as 12 possible poses for boxes identifying human-like objects. Of these, more than 50 classes are cultural heritage specific and thus do not appear in other datasets; these reflect imaginary beings, symbolic entities and other categories related to art.DEArt是一款面向12至18世纪绘画的目标检测与位姿分类数据集，可作为该领域研究的参考基准。该数据集包含逾15000张图像，其中约80%为非具象图像，配套有两类手动标注：一是用于标注69类目标全部实例的边界框标注，二是用于标注类人目标框的12种可选位姿标注。其中超50个类别为文化遗产专属类别，未在其他公开数据集中出现，涵盖虚构生物、符号实体及其他与艺术相关的分类范畴。