1008-San Semantic Segmentation Dataset and Pre-Trained Model by RoooftopExtraction

Images

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Explore Dataset

Here are a few use cases for this project:

Roof Inspection and Maintenance: "1008-San" can be utilized by roofing companies and maintenance teams to more efficiently assess rooftop conditions, classify the type of roof covering material, and identify areas in need of repair using aerial or drone imagery.
Disaster Management and Response: Emergency response teams can leverage "1008-San" to analyze aerial images or satellite data for identifying the most vulnerable roof structures during natural disasters such as hurricanes, tornadoes, or earthquakes, enabling more targeted assistance and damage assessment.
Insurance Industry: Insurance companies can use the "1008-San" model to evaluate property insurance risks and claims by accurately identifying the type of roofing material, estimating its age, and detecting signs of potential hazards or maintenance issues.
Solar Panel Installation Planning: Solar panel installation companies can employ "1008-San" to quickly determine the optimal rooftop type, size, and accessibility for solar panel installations, streamlining the initial assessment process and improving project efficiency.
Urban Planning and Infrastructure Development: City planners and architects can integrate "1008-San" into their urban planning and infrastructure development processes to better understand the prevalence of specific rooftop types in urban, suburban, or rural areas, allowing them to make more informed decisions on sustainable building materials and practices.

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{
                            1008-san_dataset,
                            title = { 1008-San Dataset },
                            type = { Open Source Dataset },
                            author = { RoooftopExtraction },
                            howpublished = { \url{ https://universe.roboflow.com/roooftopextraction-slp6b/1008-san } },
                            url = { https://universe.roboflow.com/roooftopextraction-slp6b/1008-san },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-05-18 },
                            }