keremberke/hard-hat-detection

---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
- Construction
- Utilities
- Manufacturing
- Logistics
- Ppe
- Assembly Line
- Warehouse
- Factory
- Construction
- Logistics
- Utilities
- Damage Risk
- Ppe
---

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

### Dataset Labels

```
['hardhat', 'no-hardhat']
```

### Number of Images

```json
{'test': 2001, 'train': 13782, 'valid': 3962}
```

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

### Roboflow Dataset Page
[https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5/dataset/2](https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5/dataset/2?ref=roboflow2huggingface)

### Citation

```
@misc{ hard-hats-fhbh5_dataset,
title = { Hard Hats Dataset },
type = { Open Source Dataset },
author = { Roboflow Universe Projects },
howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5 } },
url = { https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2023-01-16 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on January 16, 2023 at 9:17 PM GMT

Roboflow is an end-to-end computer vision platform that helps you
* collaborate with your team on computer vision projects
* collect & organize images
* understand and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

The dataset includes 19745 images.
Hardhat-ppe are annotated in COCO format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)

No image augmentation techniques were applied.

task_categories:
- 目标检测（object-detection）
tags:
- Roboflow
- Roboflow2Hugging Face
- 建筑场景（Construction）
- 公用事业（Utilities）
- 制造业（Manufacturing）
- 物流（Logistics）
- 个人防护装备（Personal Protective Equipment，PPE）
- 装配线（Assembly Line）
- 仓库（Warehouse）
- 工厂（Factory）
- 建筑场景（Construction）
- 物流（Logistics）
- 公用事业（Utilities）
- 损伤风险（Damage Risk）
- 个人防护装备（PPE）

<div align="center">
<img width="640" alt="keremberke/安全帽检测" src="https://huggingface.co/datasets/keremberke/hard-hat-detection/resolve/main/thumbnail.jpg">
</div>

### 数据集标签

['安全帽', '未佩戴安全帽']

### 图像数量

json
{'test': 2001, 'train': 13782, 'valid': 3962}

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

### Roboflow数据集页面
[https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5/dataset/2](https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5/dataset/2?ref=roboflow2huggingface)

### 引用格式

@misc{ hard-hats-fhbh5_dataset,
title = { 安全帽数据集 },
type = { 开源数据集 },
author = { Roboflow宇宙项目团队 },
howpublished = { url{ https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5 } },
url = { https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5 },
journal = { Roboflow宇宙 },
publisher = { Roboflow },
year = { 2022 },
month = { 12月 },
note = { 2023年1月16日访问 },
}

### 许可证
CC BY 4.0

### 数据集概述
本数据集于2023年1月16日格林尼治标准时间21:17通过roboflow.com导出。

Roboflow是一款端到端的计算机视觉平台，可帮助您
* 与团队协作开展计算机视觉项目
* 收集并整理图像数据
* 理解并搜索非结构化图像数据
* 标注并创建数据集
* 导出、训练并部署计算机视觉模型
* 使用主动学习随时间迭代优化数据集

如需获取可用于本数据集的前沿计算机视觉训练笔记本，请访问 https://github.com/roboflow/notebooks

如需查找超过10万个其他数据集与预训练模型，请访问 https://universe.roboflow.com

本数据集共包含19745张图像。安全帽类个人防护装备采用COCO格式进行标注。

以下预处理操作已应用于每张图像：
* 像素数据自动定向（移除EXIF定向信息）
* 拉伸缩放至640×640分辨率

未应用任何图像增强技术。

原始信息汇总

数据集概述

任务类别

• 目标检测

标签

• hardhat
• no-hardhat

图像数量

• 训练集：13782张
• 验证集：3962张
• 测试集：2001张

使用方法

• 安装 datasets 库：pip install datasets
• 加载数据集： python from datasets import load_dataset ds = load_dataset("keremberke/hard-hat-detection", name="full") example = ds[train][0]

许可证

• CC BY 4.0