size_categories:n<1K license:mit art region:us
---
license: mit
tags:
- art
size_categories:
- n<1K
---

# Bangumi Image Base of Night Shift Nurses

This is the image base of bangumi Night Shift Nurses, we detected 7 characters, 296 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     |       62 | [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     |       49 | [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     |       57 | [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     |       27 | [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     |       12 | [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     |       15 | [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)  |
| noise |       74 | [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) |

