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The TEMA AIIA_wildfire dataset is a collection of 2,237 natural disaster images designed for semantic segmentation, focusing on burnt areas, smoke, and fire. It aggregates and standardizes images from three distinct sources: the BLAZE classification dataset (a subset of which we annotated), KAHY trials, and RAS. The dataset is organized by source (BLAZE1, KAHY, RAS), each with standard train/val splits containing .jpg images and corresponding .png label masks. Labels follow a four-class hierarchy (0: background, 1: burnt, 2: smoke, 3: fire). The final composition is 985 images from BLAZE (https://aiia.csd.auth.gr/blaze-fire-classification-segmentation-dataset/) (655 annotated), 584 from KAHY, and 668 from RAS, split into 1,528 training and 655 validation images almost a 70 – 30% split.
In order to access the TEMA AIIA_wildfire dataset created/assembled by Aristotle University of Thessaloniki, please complete and sign the license agreement. Subsequently, email it to Prof. Ioannis Pitas (using “TEMA – AIIA_wildfire Dataset availability” as e-mail subject) so as to receive FTP credentials for downloading.
