dacl10k (dacl10k: Dataset for Semantic Bridge Damage Segmentation)

Introduced by Flotzinger et al. in dacl10k: Benchmark for Semantic Bridge Damage Segmentation

dacl10k stands for damage classification 10k images and is a multi-label semantic segmentation dataset for 19 classes (13 damages and 6 objects) present on bridges.

The dacl10k dataset includes images collected during concrete bridge inspections acquired from databases at authorities and engineering offices, thus, it represents real-world scenarios. Concrete bridges represent the most common building type, besides steel, steel composite, and wooden bridges.

🏆 This dataset is used in the challenge associated with the "1st Workshop on Vision-Based Structural Inspections in Civil Engineering" at WACV2024.


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