| LICENSE Agreement of Manga Segmentation Annotations version 1.0 | |
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| Dated: 2024-06-12 | |
| License document prepared by Minshan Xie | |
| All segmentation annotations are owned and copyrighted by Minshan Xie | |
| and Tien-Tsin Wong. | |
| Purpose of Manga Segmentation Annotations | |
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| The annotation aims to generate training data for deep learning-based | |
| instance segmentation models of manga images. These annotations allow | |
| us to identify individual components within a black-and-white manga | |
| page. Unfortunately, the current bounding box annotations in the | |
| Manga109 dataset, the largest-scale black-and-white manga dataset, | |
| are insufficient for many manga-related applications, such as manga | |
| inpainting, localization, and colorization. Hence, we have developed | |
| segmentation annotations for the Manga109 dataset. | |
| We have annotated six types of manga components at the instance level | |
| within the Manga109 dataset, i.e. frame, text, face, body, balloon, | |
| onomatopoeia. With these annotations, we can train deep-learning models | |
| for fast manga segmentation. After segmenting these components, we can | |
| seamlessly adapt manga to other media formats, such as anime, video | |
| games, or interactive storytelling. | |
| Permission to Use | |
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| You are automatically granted permission to use the images in the | |
| segmentation annotations for both academic and commercial purposes. | |
| However, please ensure that you include the following credit in any | |
| form of publication, reproduction, redistribution, or derivatives of | |
| the images: | |
| - Minshan Xie, Hanyuan Liu, Jian Lin, Chengze Li, and Tien-Tsin Wong, | |
| "Advancing Manga Analysis: Comprehensive Segmentation Annotations | |
| for the Manga109 Dataset," arXiv preprint, 2024. | |
| If you find the dataset useful, we kindly request that you cite our | |
| publication in your work or publication. | |