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BangumiBase/orenokanojotoosananajimigashurabasugiru

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Hugging Face2024-03-20 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/BangumiBase/orenokanojotoosananajimigashurabasugiru
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资源简介:
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Ore No Kanojo To Osananajimi Ga Shuraba Sugiru This is the image base of bangumi Ore No Kanojo To Osananajimi Ga Shuraba Sugiru, we detected 19 characters, 1620 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 221 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 36 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 13 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 35 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 28 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 10 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 18 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 590 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 19 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 22 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 103 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 9 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 282 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 10 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 5 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | N/A | N/A | N/A | | 15 | 9 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 127 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 6 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | N/A | N/A | | noise | 77 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
提供机构:
BangumiBase
原始信息汇总

数据集概述

数据集名称

Bangumi Image Base of Ore No Kanojo To Osananajimi Ga Shuraba Sugiru

数据集描述

该数据集包含19个角色和1620张图片。数据集的完整下载链接为all.zip

数据集质量

请注意,这些图片集并未保证100%清洁,可能存在噪声。如果计划手动训练模型,建议对下载的数据集进行必要的预处理,以消除潜在的噪声样本(约1%的概率)。

角色预览

以下是各个角色的图片数量及预览链接:

# Images Download Preview 1 Preview 2 Preview 3 Preview 4 Preview 5 Preview 6 Preview 7 Preview 8
0 221 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
1 36 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
2 13 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
3 35 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
4 28 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
5 10 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
6 18 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
7 590 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
8 19 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
9 22 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
10 103 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
11 9 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
12 282 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
13 10 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
14 5 Download preview 1 preview 2 preview 3 preview 4 preview 5 N/A N/A N/A
15 9 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
16 127 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
17 6 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 N/A N/A
noise 77 Download preview 1 preview 2 preview 3 preview 4 preview 5 preview 6 preview 7 preview 8
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