---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
- Manufacturing
---
### 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.