Wildland-Urban Interface Fire Detection Dataset

The Wildfire Detection Dataset is developed to support research on early wildfire detection, especially in Wildland-Urban Interface (WUI) areas. It contains diverse labeled images categorized by wildfire presence, time of day, distance, and visual features (fire or smoke). The dataset aims to enhance machine learning models deployed on resource-constrained devices, enabling real-time wildfire detection in critical environments.

This dataset includes images captured from public domain sources, open datasets, and manually captured photographs. The images are carefully curated and categorized to ensure balance across different environmental and visual conditions.

Dataset strucutre

The dataset is organized into a hierarchical folder structure based on five levels:

Root/
 ├── wildfire/
 │    ├── day/
 │    │    ├── close/
 │    │    │    ├── fire/
 │    │    │    ├── smoke/
 │    │    ├── medium/
 │    │    ├── far/
 │    ├── night/
 │    ├── evening/
 ├── non-wildfire/
      ├── day/
      ├── night/
      ├── evening/

Each folder contains images representing the respective conditions, ensuring a fine-grained categorization.

Layer	Description
1st	Presence (wildfire / non-wildfire)
2nd	Time of Day (day / evening / night)
3rd	Distance (close / medium / far) — only for wildfire
4th	Visual Content (fire / smoke) — only for wildfire

Example Images

Download

The dataset can be downloaded here:

📥 WUI Fire Detection Dataset

License

License

This dataset is licensed under the MIT License.

You are free to:

• Use the dataset for any purpose
• Modify the dataset
• Distribute it
• Sell copies of the dataset