FireNet

FireNet <br> FireNet is an open ML training dataset for visual recognition of fire safety equipment. Our dataset directly links the objects to their respective Uniclass, the construction sector’s classification scheme to name objects. FireNet has been designed as a ML training dataset for experimentation and therefore fulfills multiple machine learning scenarios (classification, object detection, semantic segmentation). It is intended as a domain specific dataset to refine pre-trained standard architectures. <br>Uniclass &amp; Description Pr_40_50_28_64 Portable fire extinguishers Pr_75_75_30_50 Manual call points Pr_40_50_28_29 Fire protective blankets Pr_40_10_77_32 Fire escape route signs Pr_40_10_77_31 Fire equipment signs Pr_75_75_30_97 Visual alarm signal devices Pr_75_75_30_30 Fire alarm sounders Pr_75_75_30_65 Point smoke detectors <br>FireNet 是一款用于视觉识别消防器材的开源机器学习训练数据集。本数据集将目标对象与其对应的Uniclass（建筑行业标准分类体系）直接关联，以此完成对象命名。FireNet 专为机器学习训练实验设计，可适配多种机器学习任务场景，涵盖分类、目标检测、语义分割，旨在作为领域专用数据集，用于优化预训练的标准模型架构。 Uniclass编码及对应说明： Pr_40_50_28_64：手提式灭火器 Pr_75_75_30_50：手动火灾报警按钮 Pr_40_50_28_29：消防毯 Pr_40_10_77_32：消防疏散指示标志 Pr_40_10_77_31：消防器材标识 Pr_75_75_30_97：视觉报警信号装置 Pr_75_75_30_30：火灾报警发声器 Pr_75_75_30_65：点型感烟火灾探测器