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Found 3 papers, 1 papers with code
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the Test
Recognising reinforced concrete defects (RCDs) is a crucial element for determining the structural integrity, traffic safety and durability of bridges.
dacl10k: Benchmark for Semantic Bridge Damage Segmentation
Reliably identifying reinforced concrete defects (RCDs)plays a crucial role in assessing the structural integrity, traffic safety, and long-term durability of concrete bridges, which represent the most common bridge type worldwide.
Ranked #1 on
Semantic Segmentation
on dacl10k v1 testfinal
Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition
In recent years, several companies and researchers have started to tackle the problem of damage recognition within the scope of automated inspection of built structures.
