Jegkav Instance Segmentation Dataset and Pre-Trained Model by Satellite based Building Height Estimation

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Explore Dataset

Here are a few use cases for this project:

Urban Planning and Development: Jegkav can be used by urban planners to analyze the distribution of building types in cities, identify areas with potential for growth, and develop strategic plans to optimize land use, zoning, and infrastructure investments based on the existing building structure.
Real Estate Analysis: Real estate professionals can leverage Jegkav to assess and compare neighborhoods, predict property values, and identify trends in building construction types. This information can help them make informed decisions when selecting properties or advising clients on property investments.
Emergency Response Planning: With Jegkav's ability to classify building stories, emergency responders and city officials can create more detailed, accurate emergency response plans, including evacuation strategies, identifying high-risk buildings, and deploying resources based on potential impact during disasters.
Insurance Risk Assessment: Insurance companies can use Jegkav to determine construction types within different regions, helping them establish insurance premiums based on the level of risk associated with different building structures - for example, high-rise buildings may have a higher risk of structural damage during earthquakes or storms.
3D City Modeling: Architects and urban designers can employ Jegkav to automatically generate 3D city models and visualize building classes within a geographic area. This can support the design and presentation of urban planning proposals or allow local residents to better visualize plans for their city's development.

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{
                            jegkav_dataset,
                            title = { Jegkav Dataset },
                            type = { Open Source Dataset },
                            author = { Satellite based Building Height Estimation },
                            howpublished = { \url{ https://universe.roboflow.com/satellite-based-building-height-estimation/jegkav } },
                            url = { https://universe.roboflow.com/satellite-based-building-height-estimation/jegkav },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-24 },
                            }