SYN-FIRE: Synthetic Dataset for Fire Detection in Indoor Environments

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 controlled indoor fire scenarios.SYN-FIRE 数据集（SYN-FIRE dataset）专为研究合成数据对火灾分割性能的影响而开发，是受控室内火灾场景下评估深度学习模型的首要基准。