#### NOTE
This is a **Hugging Face dataset**. For large datasets, ensure `huggingface_hub>=1.1.3` to avoid rate limits. Learn more in the <a href="https://docs.voxel51.com/integrations/huggingface.html#loading-datasets-from-the-hub" target="_blank">Hugging Face integration docs</a>.

<a href="https://huggingface.co/datasets/Voxel51/hard-hat-detection" target="_blank">![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-yellow)</a>

# Dataset Card for hard-hat-detection

This dataset, contains 5000 images with bounding box annotations in the PASCAL VOC format for these 3 classes:

- Helmet
- Person
- Head

![image/png](https://huggingface.co/datasets/Voxel51/hard-hat-detection/resolve/main/dataset_preview.gif)

This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 5000 samples.

## Installation

If you haven’t already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'split', 'max_samples', etc
dataset = fouh.load_from_hub("dgural/hard-hat-detection")

# Launch the App
session = fo.launch_app(dataset)
```

## Dataset Details

### Dataset Description

Improve workplace safety by detecting people and hard hats on 5k images with bbox annotations.

- **Language(s) (NLP):** en
- **License:** cc0-1.0

### Dataset Sources

- **Repository:** https://www.kaggle.com/datasets/andrewmvd/hard-hat-detection/data

### Source Data

Dataset taken from https://www.kaggle.com/datasets/andrewmvd/hard-hat-detection/data  and created by [andrewmvd](https://www.kaggle.com/andrewmvd)

## Citation

**BibTeX:**

@misc{make ml,
title={Hard Hat Dataset},
url={https://makeml.app/datasets/hard-hat-workers},
journal={Make ML}}