Kuzushiji-49
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下载链接:
https://modelscope.cn/datasets/OmniData/Kuzushiji-49
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资源简介:
displayName: Kuzushiji-49
labelTypes:
- Classification
license:
- CC BY-SA 4.0
mediaTypes:
- Image
paperUrl: https://arxiv.org/pdf/1812.01718v1.pdf
publishDate: "2018"
publishUrl: https://github.com/rois-codh/kmnist
publisher:
- Royal Grammar School, Guildford
- National Institute of Japanese Literature
- Mila – Quebec Artifcial Intelligence Institute
- Google AI Research
- ROIS-DS Center for Open Data in the Humanities
tags:
- Character
taskTypes:
- Image Classification
- Japanese Detection
---
# 数据集介绍
## 简介
Kuzushiji-49 是一个类似于 MNIST 的数据集,具有来自 48 个平假名字符和一个平假名迭代标记的 49 个类(28x28 灰度,270,912 张图像)。
## 引文
```
@article{clanuwat2018deep,
title={Deep learning for classical japanese literature},
author={Clanuwat, Tarin and Bober-Irizar, Mikel and Kitamoto, Asanobu and Lamb, Alex and Yamamoto, Kazuaki and Ha, David},
journal={arXiv preprint arXiv:1812.01718},
year={2018}
}
```
## Download dataset
:modelscope-code[]{type="git"}
显示名称:Kuzushiji-49
标签类型:分类(Classification)
许可协议:CC BY-SA 4.0
媒体类型:图像(Image)
论文链接:https://arxiv.org/pdf/1812.01718v1.pdf
发布日期:2018年
发布平台链接:https://github.com/rois-codh/kmnist
发布机构:吉尔福德皇家文法学校、日本国语学国立研究所、魁北克人工智能研究所(Mila – Quebec Artificial Intelligence Institute)、谷歌人工智能研究院(Google AI Research)、人文科学开放数据中心(ROIS-DS Center for Open Data in the Humanities)
标签:字符(Character)
任务类型:图像分类(Image Classification)、日语检测(Japanese Detection)
---
# 数据集介绍
## 简介
Kuzushiji-49是一类对标MNIST的数据集,共包含49个类别,涵盖48个平假名字符及1个平假名迭代标记,所有图像均为28×28的灰度图像,总规模达270,912张。
## 引文
@article{clanuwat2018deep,
title={面向古典日语文学的深度学习},
author={Clanuwat, Tarin and Bober-Irizar, Mikel and Kitamoto, Asanobu and Lamb, Alex and Yamamoto, Kazuaki and Ha, David},
journal={arXiv预印本 arXiv:1812.01718},
year={2018}
}
## 数据集下载 :modelscope-code[]{type="git"}
提供机构:
maas
创建时间:
2024-07-02



