论文标题
可解释的抽象火车数据集
Explainable Abstract Trains Dataset
论文作者
论文摘要
可解释的抽象火车数据集是一个图像数据集，其中包含火车的简化表示。它旨在为算法的应用和研究提供一个平台，以进行理由和解释提取。该数据集伴随着一个本体，该本体学概念化并根据其视觉特征对所描绘的火车进行了分类，从而可以精确理解每列火车的标记方式。数据集中的每个图像都用多个属性注释，这些属性描述了火车的功能以及火车元素的边界框。
The Explainable Abstract Trains Dataset is an image dataset containing simplified representations of trains. It aims to provide a platform for the application and research of algorithms for justification and explanation extraction. The dataset is accompanied by an ontology that conceptualizes and classifies the depicted trains based on their visual characteristics, allowing for a precise understanding of how each train was labeled. Each image in the dataset is annotated with multiple attributes describing the trains' features and with bounding boxes for the train elements.
