phiyodr/building-inspection-toolkit
Building Inspection Toolkit
This toolkit helps civil and structural engineers, inspectors, and researchers working on damage recognition in built structures, particularly reinforced concrete bridges. It provides readily available, pre-processed datasets of bridge images with cleaned annotations and established train/validation/test splits. You can input these image datasets to train and evaluate machine learning models for identifying defects like cracks, and it provides standardized metrics and strong baseline models for comparing results.
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Use this if you need high-quality, pre-labeled image datasets and evaluation tools specifically for training AI to detect damage on concrete bridges, or if you want to benchmark your own models against established baselines in this field.
Not ideal if your focus is on a different type of structure, material, or damage, as the current datasets and models are specialized for reinforced concrete bridge defects.
Stars
29
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6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 18, 2023
Commits (30d)
0
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