protective-equipment-detection

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

### Dataset Labels

```
['glove', 'goggles', 'helmet', 'mask', 'no_glove', 'no_goggles', 'no_helmet', 'no_mask', 'no_shoes', 'shoes']
```

### Number of Images

```json
{'valid': 3570, 'test': 1935, 'train': 6473}
```

### 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/protective-equipment-detection", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7](https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7?ref=roboflow2huggingface)

### Citation

```
@misc{ ppes-kaxsi_dataset,
title = { PPEs Dataset },
type = { Open Source Dataset },
author = { Personal Protective Equipment },
howpublished = { \\url{ https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi } },
url = { https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2023-01-18 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.ai on July 7, 2022 at 3:49 PM GMT

It includes 11978 images.
Ppe-equipements are annotated in COCO format.

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

No image augmentation techniques were applied.

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

### 数据集标签

['手套', '护目镜', '安全帽', '口罩', '未佩戴手套', '未佩戴护目镜', '未佩戴安全帽', '未佩戴口罩', '未佩戴防护鞋', '防护鞋']

### 图像数量

json
{'验证集': 3570, '测试集': 1935, '训练集': 6473}

### 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/protective-equipment-detection", name="full")
example = ds['train'][0]

### Roboflow 数据集页面
[https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7](https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi/dataset/7?ref=roboflow2huggingface)

### 引用信息

@misc{ ppes-kaxsi_dataset,
title = { 个人防护装备数据集 },
type = { 开源数据集 },
author = { 个人防护装备团队 },
howpublished = { url{ https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi } },
url = { https://universe.roboflow.com/personal-protective-equipment/ppes-kaxsi },
journal = { Roboflow 开源社区 },
publisher = { Roboflow },
year = { 2022 },
month = { 7月 },
note = { 2023年1月18日访问 },
}

### 许可证
CC BY 4.0

### 数据集概述

本数据集于2022年7月7日格林尼治标准时间下午3点49分通过roboflow.ai导出。

该数据集共包含11978张图像，个人防护装备（Personal Protective Equipment, PPE）的标注采用COCO格式。

已对每张图像执行以下预处理操作：
* 像素数据自动方向校正（去除EXIF方向元信息）

未对图像应用任何数据增强技术。