README.md

---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
license: cc-by-4.0
multilinguality: monolingual
language:
- en
size_categories:
- 1K<n<10K
tasks:
- object-detection
- classification
dataset_type: image-folder
tags:
- object-detection
- classification
- safety-helmet
- hardhat-detection
- construction-safety
- drone-imagery
- night-vision
- computer-vision
- yolo-format
- color-classification
---

# IITU Safety-Helmet Dataset v1.0 Demo

## Overview:
This dataset contains annotated images of safety helmets captured both by drone and at ground level, designed for helmet detection and color classification tasks in computer vision.

**This is the DEMO version of the dataset, now it contains only 14 images and annotations.**

---

## 📖 Dataset Summary

This dataset contains **1,664 images** annotated for safety-helmet detection and color classification.  
- **6,473** helmet instances  
- Captured by drone (3–5 m, 10–15 m; angles 0°, 45°, 90°) and at ground level  
- Lighting conditions: daytime (clear) and night (lamp light)


## 📂 Dataset Structure

```text
iitu-safety-helmet/
├── data
│   ├── frames_daytime
│   │   ├── horizontal_0deg
│   │   │   ├── 3-5_meters
│   │   │   │   ├── images/
│   │   │   │   └── annotations/
│   │   │   └── 10-15_meters
│   │   │       ├── images/
│   │   │       └── annotations/
│   │   ├── tilted_45deg
│   │   └── vertical_90deg
│   └── frames_night_time
│       ├── horizontal_0deg
│       │   ├── images/
│       │   └── annotations/
│       ├── tilted_45deg
│       └── vertical_90deg
├── classes.txt
└── README.md
```

## Annotation Format:
- Each .txt annotation file corresponds to one image and contains one line per helmet.  
- Line format (YOLO v5-style with high-precision floats):
"class_id", "x_center", "y_center", "width", "height".
- All five values are space-separated; the four geometry values are normalized to [0, 1] and may have up to 16 decimal places.

## Classes:
```text
0 blue helmet
1 green helmet
2 red helmet
3 white helmet
4 yellow helmet
```

**Paper / Citation**  
**Bektemyssova, G.; Bykov, A.;  Keresh, A.; Yergazy, Y.; Shaikemelev, G.;**

IITU Safety-Helmet Dataset: Drone-Captured and Ground-Level Images with Color Annotations. 2025.  
DOI: soon

**License:**  
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)