Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset. Hence, we built Manga109, a dataset consisting of a variety of 109 Japanese comic books (94 authors and 21,142 pages) and made it publicly available by obtaining author permissions for academic use. We carefully annotated the frames, speech texts, character faces, and character bodies; the total number of annotations exceeds 500k. This dataset provides numerous manga images and annotations, which will be beneficial for use in machine learning algorithms and their evaluation. In addition to academic use, we obtained further permission for a subset of the dataset for industrial use. In this article, we describe the details of the dataset and present a few examples of multimedia processing applications (detection, retrieval, and generation) that apply existing deep learning methods and are made possible by the dataset.

本文介绍了Manga109数据集，这是一个包含109本日本漫画的数据集，提供了超过500k的图片和注释，为深度学习算法和其评估提供了很好的资源，同时还展示了通过该数据集实现的多媒体处理应用程序（检测、检索和生成）的几个示例。

建立一个包含多媒体应用注释的漫画数据集“Manga109