painting-style-classification

<div align="center">
<img width="640" alt="keremberke/painting-style-classification" src="https://huggingface.co/datasets/keremberke/painting-style-classification/resolve/main/thumbnail.jpg">
</div>

### Dataset Labels

```
['Realism', 'Art_Nouveau_Modern', 'Analytical_Cubism', 'Cubism', 'Expressionism', 'Action_painting', 'Synthetic_Cubism', 'Symbolism', 'Ukiyo_e', 'Naive_Art_Primitivism', 'Post_Impressionism', 'Impressionism', 'Fauvism', 'Rococo', 'Minimalism', 'Mannerism_Late_Renaissance', 'Color_Field_Painting', 'High_Renaissance', 'Romanticism', 'Pop_Art', 'Contemporary_Realism', 'Baroque', 'New_Realism', 'Pointillism', 'Northern_Renaissance', 'Early_Renaissance', 'Abstract_Expressionism']
```

### Number of Images

```json
{'valid': 1295, 'train': 4493, 'test': 629}
```

### How to Use

- Install [datasets](https://pypi.org/project/datasets/):

```bash
pip install datasets
```

- Load the dataset:

```python
from datasets import load_dataset

ds = load_dataset("keremberke/painting-style-classification", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/art-dataset/wiki-art/dataset/1](https://universe.roboflow.com/art-dataset/wiki-art/dataset/1?ref=roboflow2huggingface)

### Citation

```
@misc{ wiki-art_dataset,
title = { wiki art Dataset },
type = { Open Source Dataset },
author = { Art Dataset },
howpublished = { \\url{ https://universe.roboflow.com/art-dataset/wiki-art } },
url = { https://universe.roboflow.com/art-dataset/wiki-art },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2023-01-18 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.ai on March 9, 2022 at 1:47 AM GMT

It includes 6417 images.
27 are annotated in folder format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 416x416 (Stretch)

No image augmentation techniques were applied.

<div align="center">
<img width="640" alt="keremberke/绘画风格分类（painting-style-classification）" src="https://huggingface.co/datasets/keremberke/painting-style-classification/resolve/main/thumbnail.jpg">
</div>

### 数据集标签

['现实主义（Realism）', '新艺术现代风格（Art_Nouveau_Modern）', '分析立体主义（Analytical_Cubism）', '立体主义（Cubism）', '表现主义（Expressionism）', '行动绘画（Action_painting）', '综合立体主义（Synthetic_Cubism）', '象征主义（Symbolism）', '浮世绘（Ukiyo_e）', '稚拙艺术-原始主义（Naive_Art_Primitivism）', '后印象主义（Post_Impressionism）', '印象主义（Impressionism）', '野兽主义（Fauvism）', '洛可可（Rococo）', '极简主义（Minimalism）', '风格主义-文艺复兴晚期（Mannerism_Late_Renaissance）', '色域绘画（Color_Field_Painting）', '盛期文艺复兴（High_Renaissance）', '浪漫主义（Romanticism）', '波普艺术（Pop_Art）', '当代现实主义（Contemporary_Realism）', '巴洛克（Baroque）', '新现实主义（New_Realism）', '点彩派（Pointillism）', '北方文艺复兴（Northern_Renaissance）', '早期文艺复兴（Early_Renaissance）', '抽象表现主义（Abstract_Expressionism）']

### 图像数量

json
{'valid': 1295, 'train': 4493, 'test': 629}

### 使用方法

- 安装[datasets库](https://pypi.org/project/datasets/):

bash
pip install datasets

- 加载数据集:

python
from datasets import load_dataset

ds = load_dataset("keremberke/painting-style-classification", name="full")
example = ds['train'][0]

### Roboflow数据集页面
[https://universe.roboflow.com/art-dataset/wiki-art/dataset/1](https://universe.roboflow.com/art-dataset/wiki-art/dataset/1?ref=roboflow2huggingface)

### 引用格式

@misc{ wiki-art_dataset,
title = { 维基艺术数据集 },
type = { 开源数据集 },
author = { 艺术数据集 },
howpublished = { url{ https://universe.roboflow.com/art-dataset/wiki-art } },
url = { https://universe.roboflow.com/art-dataset/wiki-art },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { 访问于 2023-01-18 },
}

### 许可证
CC BY 4.0

### 数据集概述

本数据集于2022年3月9日格林尼治标准时间上午1:47通过roboflow.ai导出。

共包含6417张图像，其中27张以文件夹格式完成标注。

已对每张图像执行以下预处理操作：
* 自动校正像素数据定向（剥离EXIF定向元数据）
* 拉伸缩放至416×416像素

未使用任何图像增强技术。

搜集汇总

背景与挑战

背景概述

该数据集是一个包含6417张图像、覆盖27种绘画风格的分类数据集，图像已预处理为416x416分辨率，适用于艺术风格识别任务。数据来源于Roboflow平台，采用CC BY 4.0许可协议。