Name: ISBDA_classification Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1025 images

Explore Dataset

Here are a few use cases for this project:

Disaster Response: This model can be used by emergency response teams to quickly assess the levels of damage to buildings after disasters like earthquakes or hurricanes. Search and rescue teams could prioritize severely damaged, destroyed buildings, or locations with substantial debris for immediate assistance.
Urban Planning and Development: Planners can use this model to identify areas with significant building damage for redevelopment. It can also assist in historical preservation efforts by identifying structures at risk.
Insurance Claims Processing: Insurance companies can use the model to expedite the claims process by identifying and categorizing the damage to buildings after a disaster event. This can help to speed up the settlement of claims and reduce the need for physical inspections.
Building Maintenance: Organizations and government bodies responsible for building maintenance could use this model to identify structures displaying severe wear and tear or risk of collapse, allowing them to prioritize repairs or demolition.
Research and Studies: The model can be used in academic or professional research relating to urban decay or aftermath of calamities. It can provide valuable data about the extent and type of building damage, which can help in creating more resilient architectural designs.

Cite This Project

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

@misc{
                            isbda_classification_dataset,
                            title = { ISBDA_classification Dataset },
                            type = { Open Source Dataset },
                            author = { AI Imagery },
                            howpublished = { \url{ https://universe.roboflow.com/ai-imagery/isbda_classification } },
                            url = { https://universe.roboflow.com/ai-imagery/isbda_classification },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-26 },
                            }