Concrete defect detection Object Detection Dataset and Pre-Trained Model by SHM

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Explore Dataset

Here are a few use cases for this project:

Construction Site Quality Assurance: This model can be used in construction sites to maintain quality by regularly checking concrete structures such as pillars, walls, and platforms. The model could identify any emergent defects quickly and enable early interventions.
Infrastructure Maintenance: Popular particularly among departments of transportation or municipal organizations for periodic checks on public infrastructure such as bridges, roads, tunnels, etc. This early detection of any anomalies can help plan repair work in a timely manner, ensuring public safety.
Real Estate Property Inspections: Real estate agents, property inspectors, or potential home buyers can use this model to evaluate the structural integrity of residential or commercial properties. Detecting defects like cracking or scaling can be especially useful during pre-purchase inspections.
Historical Monument Conservation: Operators of closely monitored historical landmarks can use this model to preserve aged structures. Early detection of defects and subsequent repairs may significantly help in the preservation efforts and prolong their life.
Research and Education: The model can be an invaluable tool for civil engineering education and research, especially in materials science and structural engineering. Students and researchers can use it to study different types of concrete defects, their causes, and their effects under various conditions.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            concrete-defect-detection-pl8ed_dataset,
                            title = { Concrete defect detection Dataset },
                            type = { Open Source Dataset },
                            author = { SHM },
                            howpublished = { \url{ https://universe.roboflow.com/shm-agftj/concrete-defect-detection-pl8ed } },
                            url = { https://universe.roboflow.com/shm-agftj/concrete-defect-detection-pl8ed },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-10 },
                            }