There is a growing interest in product aesthetics analytics and design.
However, the lack of available large-scale data that covers various variables
and information is one of the biggest challenges faced by analysts and
researchers. In this paper, we present our multidisciplinary initiative of
developing a comprehensive automotive dataset from different online sources and
formats. Specifically, the created dataset contains 1.4 million images from 899
car models and their corresponding model specifications and sales information
over more than ten years in the UK market. Our work makes significant
contributions to: (i) research and applications in the automotive industry;
(ii) big data creation and sharing; (iii) database design; and (iv) data
fusion. Apart from our motivation, technical details and data structure, we
further present three simple examples to demonstrate how our data can be used
in business research and applications.

本文提出了一个从不同的网络来源和格式创建综合汽车数据集的多学科计划，其中包括来自英国市场十多年内 899 辆汽车型号的 1.4 百万张图片，以及相应的车型规格和销售信息。这项工作对汽车行业的研究和应用，大数据的创建和共享，数据库设计和数据融合做出了重要贡献，并且可以在商业研究和应用中使用。