FireNet
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. Uniclass & 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
