"Floodborne Objects Type Recognition Using Computer Vision to Mitigate " by Umair Iqbal, Muhammad Zain Bin Riaz et al.
The presence of floodborne objects (i.e., vegetation, urban objects) during floods is considered a very critical factor because of their non-linear complex hydrodynamics and impacts on flooding outcomes (e.g., diversion of flows, damage to structures, downstream scouring, failure of structures). Conventional flood models are unable to incorporate the impact of floodborne objects mainly because of the highly complex hydrodynamics and non-linear nature associated with their kinematics and accumula...
Wollongong City Council Objects Recognition Dataset Mean Average Precision Blockage Of Hydraulic Structures Computer Vision Loodborne Objects
Source: uow.edu.au