FLAME2-DT (Forest Fire Detection Dataset with Dual-modality Labels) is a comprehensive multi-modal dataset specifically designed for UAV-based forest fire detection research. The dataset consists of 1,280 paired RGB-thermal infrared images captured by a Mavic 2 Enterprise Advanced UAV system, with high-resolution (640×512) and precise pixel-level annotations for both fire and smoke regions. This dataset addresses critical challenges in forest fire detection by providing paired multi-modal data that captures the complementary characteristics of visible light and thermal imaging.

DOI Link: 
10.21227/zzx3-pt71
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[1] Guanbo Wang, "FLAME2-DT", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/zzx3-pt71. Accessed: Mar. 13, 2025.
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doi = {10.21227/zzx3-pt71},
url = {http://dx.doi.org/10.21227/zzx3-pt71},
author = {Guanbo Wang },
publisher = {IEEE Dataport},
title = {FLAME2-DT},
year = {2025} }
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T1 - FLAME2-DT
AU - Guanbo Wang
PY - 2025
PB - IEEE Dataport
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Guanbo Wang. (2025). FLAME2-DT. IEEE Dataport. http://dx.doi.org/10.21227/zzx3-pt71
Guanbo Wang, 2025. FLAME2-DT. Available at: http://dx.doi.org/10.21227/zzx3-pt71.
Guanbo Wang. (2025). "FLAME2-DT." Web.
1. Guanbo Wang. FLAME2-DT [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/zzx3-pt71
Guanbo Wang. "FLAME2-DT." doi: 10.21227/zzx3-pt71