Personal GAP Object Detection Dataset and Pre-Trained Model by Anshul Parmar

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Explore Dataset

Here are a few use cases for this project:

Infrastructure Maintenance and Repair: This model could be used by city or state administrations to automate the inspection of public infrastructures such as bridges, buildings, or roads. By identifying structural defects, appropriate repairs could be scheduled, improving infrastructure longevity and public safety.
Real Estate Property Assessment: Real estate agents, property managers, or potential buyers could use Personal GAP to assess the condition of the property. It could highlight any existing or potential issues that may need to be addressed, helping to make informed decisions about property investments.
Insurance Claim Assessment: Insurance companies could use this model to aid in damage assessment for claims related to property damage. It could identify and classify the type of damage, providing an unbiased report that could speed up the claim process.
Historic Preservation: Preservationists could utilize this model to check the structural integrity of historic buildings or monuments. Proper maintenance and timely repair could be planned on identifying the type and extent of damage, aiding in the preservation of listed buildings.
Landscaping and Forest Management: The model could be used by landscape architects or forest management bodies to identify overgrown areas that may need attention, including locations where vegetation is indirectly contributing to structural damages.

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{
                            personal-gap_dataset,
                            title = { Personal GAP Dataset },
                            type = { Open Source Dataset },
                            author = { Anshul Parmar },
                            howpublished = { \url{ https://universe.roboflow.com/anshul-parmar/personal-gap } },
                            url = { https://universe.roboflow.com/anshul-parmar/personal-gap },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-06-18 },
                            }