Boreal Forest Fire: UAV-collected Wildfire Detection and Smoke Segmentation Dataset
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© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Automated image-based wildfire detection suffers from a lack of open-access data, especially data with annotations. Our dataset targets the gap by providing human and computer vision foundation-model co-annotated images from an uncrewed aerial vehicle (UAV) perspective from Finnish boreal forest environments. The images and videos were collected at multiple prescribed burning events, and the data were used to successfully train wildfire detection models in our previous studies, proving their value for the task. The Boreal Forest Fire dataset contains three sections: images with bounding box annotations, video clips with labels and images with segmentation masks. Alongside the data, we have released code, ensuring that the data is simple to use.
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2052-4463
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Scientific data|12
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä (vertaisarvioitu)