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ISFire-4: Indoor Fire and Smoke Detection Dataset
Multi-class indoor fire and smoke detection dataset with bounding-box annotations in YOLO format. Introduced in the manuscript FireNet-D5: A Genetic Algorithm-Optimized Architecture with BiFPN and SE Attention for Multi-Class Indoor Fire and Smoke Detection.
Classes (4): black smoke, blue fire, white-gray smoke, yellow-orange fire
Statistics: 7,370 images / 11,010 instances
Structure: dataset.zip → train/, valid/, test/, each with images/ and labels/ (YOLO format: class_id x_center y_center width height, normalized).
Citation: FireNet-D5: A Genetic Algorithm-Optimized Architecture with BiFPN and SE Attention for Multi-Class Indoor Fire and Smoke Detection.
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