Datasets:
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---
pretty_name: EuroRoads
license: cc-by-4.0
task_categories:
- image-classification
- image-segmentation
size_categories:
- 10K<n<100K
language:
- en
tags:
- roads
- europe
- driving
- netherlands
- belgium
- germany
configs:
- config_name: default
data_files:
- split: train
path: dataset/EuroRoads-13.7K.zip
---
# 🛣️ EuroRoads, a free to use European road dataset
A high-resolution collection of **13.7 thousand road scene images** captured across the **Netherlands (Limburg)**, **Germany**, and **Belgium**.
The dataset focuses on realistic driving environments ranging from highways to small rural paths — designed for use in computer vision tasks such as segmentation, detection, or autonomous driving simulation.
*Three images side by side, below them an extreme 10x crop (for full res see assets folder)*
## 📦 Dataset Summary
| Property | Description |
| -------------------- | ---------------------------------------------------- |
| **Total Images** | 13,706 |
| **Resolution** | 3072 × 3072 |
| **Capture Device** | Xiaomi 14 Ultra / 15 Ultra (soon) |
| **Frame Interval** | 1 second |
| **Filtering** | Long traffic pauses removed |
| **Geographic Focus** | Mainly Netherlands (Limburg), also Germany & Belgium |
| **License** | CC-BY |
| **Status** | Work in progress |
| **Camera Mode** | Auto (may cause inconsistent motion blur) |
| **Camera Style** | Mainly Leica Authentic |
---
## 🗺️ Description
This dataset provides **sharp and detailed** images captured in various European environments and weather conditions.
It covers a wide range of road types:
* 🚗 **Highways and intercity roads**
* 🚙 **Regular city and suburban roads**
* 🚜 **Narrow paths and village streets**
* 🌳 **Paved roads through nature**
All images were captured at **1-second intervals**, with **long idle pauses removed** (red lights). The result is a mostly unfiltered, time-consistent dataset.
All images have kept their original file names and metadata, although location information is excluded.
---
## 🧭 Geographic Context
* **Primary Region:** Limburg, Netherlands
* **Additional Regions:** Adjacent areas in **Germany** and **Belgium**
* **Environment Mix:** Urban → rural → nature-paved roads
---
## 📷 Image Characteristics
* Captured using **high-end mobile sensors** (Xiaomi 14/15 Ultra)
* **Auto mode** exposure and focus
* **1:1 aspect ratio** optimized for dataset uniformity
* Possible **inconsistencies in motion blur or lighting** due to automatic settings
* **No filtering or labeling** beyond removal of long idle periods
---
## 🪪 License
**Creative Commons Attribution (CC BY 4.0)**
You are free to share and adapt the data, provided appropriate credit is given.
---
## 🚧 Work in Progress
This dataset is **actively being expanded and refined**.
Future releases *may* include:
* Filtered subsets (e.g., motion blur score, weather condition, time of day)
* Semantic annotations or segmentation masks
---
## 📬 Citation
If you use this dataset in your work, please cite it as:
```
@dataset{road_scenes_limburg_de_be_2025,
title = {EuroRoads (Limburg–DE–BE) Dataset},
author = {Randy Hübner},
year = {2025},
license = {CC-BY-4.0},
url = {https://huggingface.co/datasets/Pikachu/EuroRoads}
}
```
---
license: cc-by-4.0
---
configs:
- config_name: default
data_files:
- split: train
path: dataset/EuroRoads-13.7K.zip |