BangumiBase/shy
收藏Hugging Face2024-07-19 更新2024-07-22 收录
下载链接:
https://hf-mirror.com/datasets/BangumiBase/shy
下载链接
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资源简介:
这是一个名为Bangumi Image Base of Shy的数据集,包含了96个角色的6166张图片。数据集的图片数量在1K到10K之间,且可能包含约1%的噪声数据。建议在使用该数据集进行模型训练前,进行必要的预处理以消除潜在的噪声样本。每个角色的图片数量和预览图都在README文件的表格中列出。
This is a dataset named Bangumi Image Base of Shy, containing 6166 images of 96 characters. The dataset size ranges between 1K and 10K, and it may contain approximately 1% of noisy data. It is recommended to perform necessary preprocessing on the downloaded dataset before training models to eliminate potential noisy samples. The number of images and previews for each character are listed in the table within the README file.
提供机构:
BangumiBase
原始信息汇总
Bangumi Image Base of Shy
概述
- 数据集名称: Bangumi Image Base of Shy
- 数据类型: 图像
- 标签: 艺术
- 数据量: 1K<n<10K
- 许可证: MIT
数据集详情
- 角色数量: 96
- 图像总数: 6166
- 数据质量: 可能包含噪声,建议进行预处理以消除潜在的噪声样本(约1%概率)
数据下载
- 完整数据集: all.zip
- 分角色数据集:
| # | 图像数量 | 下载链接 | 预览图1 | 预览图2 | 预览图3 | 预览图4 | 预览图5 | 预览图6 | 预览图7 | 预览图8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 670 | Download | ![]() |
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| 1 | 19 | Download | ![]() |
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| 2 | 120 | Download | ![]() |
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| 3 | 60 | Download | ![]() |
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| 4 | 22 | Download | ![]() |
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| 5 | 13 | Download | ![]() |
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| 6 | 26 | Download | ![]() |
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| 7 | 9 | Download | ![]() |
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| 8 | 148 | Download | ![]() |
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| 9 | 50 | Download | ![]() |
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| 10 | 331 | Download | ![]() |
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| 11 | 30 | Download | ![]() |
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| 12 | 409 | Download | ![]() |
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| 13 | 21 | Download | ![]() |
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| 14 | 126 | Download | ![]() |
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| 15 | 27 | Download | ![]() |
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| 16 | 18 | Download | ![]() |
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| 17 | 29 | Download | ![]() |
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| 18 | 25 | Download | ![]() |
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| 19 | 19 | Download | ![]() |
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| 20 | 18 | Download | ![]() |
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| 21 | 34 | Download | ![]() |
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| 22 | 76 | Download | ![]() |
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| 23 | 393 | Download | ![]() |
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| 24 | 40 | Download | ![]() |
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| 25 | 21 | Download | ![]() |
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| 26 | 114 | [Download](26/dataset.zip |



















































































































































































































