Because no multimodal dataset was previously available for fire detection research, we developed the MmodalFire multimodal fire detection dataset for training and evaluation of indoor fire detection a
The SYN-FIRE dataset was developed specifically for research on the impact of synthetic data on fire segmentation performance, serving as the primary benchmark for evaluating deep learning models in c
Because no multimodal dataset was previously available for fire detection research, we developed the MmodalFire multimodal fire detection dataset for training and evaluation of indoor fire detection a
ISFire-4 是一个用于室内火灾和烟雾检测的多类别目标检测数据集，包含边界框标注，格式为 YOLO。该数据集在论文《FireNet-D5: A Genetic Algorithm-Optimized Architecture with BiFPN and SE Attention for Multi-Class Indoor Fire and Smoke Detection》中首次提出。数据集
