task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code region:us
An example of a dataset that we've collected for a photo edit App.
The dataset includes 20 selfies of people (man and women)
in segmentation masks and their visualisations.
@InProceedings{huggingface:dataset,
title = {helmet_detection},
author = {TrainingDataPro},
year = {2023}
}
---
license: cc-by-nc-nd-4.0
dataset_info:
  features:
  - name: id
    dtype: string
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: bboxes
    dtype: string
  splits:
  - name: train
    num_bytes: 56575701
    num_examples: 46
  download_size: 56584366
  dataset_size: 56575701
task_categories:
- image-classification
language:
- en
tags:
- code
---

# Helmet Detection Dataset
The dataset consist of photographs of construction workers during the work. The dataset provides helmet detection using bounding boxes, and addresses public safety tasks such as providing compliance with safety regulations, authomizing the processes of identification of rules violations and reducing accidents during the construction work.

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=helmet_detection) to discuss your requirements, learn about the price and buy the dataset.


![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc7a46d2407e8aa245f107524fcaecff5%2Fhelmets.png?generation=1686295342860797&alt=media)

# Dataset structure
- **img** - contains of original images of construction workers
- **boxes** - includes bounding box labeling for the original images
-  **annotations.xml** -  contains coordinates of the bounding boxes and labels (helmet, no_helmet), created for the original photo

# Data Format

Each image from `img` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes and labels for helmet detection. For each point, the x and y coordinates are provided.

# Example of XML file structure
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fce2115cd583ab7bc4e1d3d2749b4d7ad%2Fcarbon%20(7).png?generation=1686295970420156&alt=media)

# Helmet Detection might be made in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=helmet_detection) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
