mould-detection-Aaron Computer Vision Project

DissertationProject

Updated a year ago

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mould
mould_like_neg

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Description

Here are a few use cases for this project:

  1. Property Inspection: Real estate agents, property managers, or house inspectors could use this model to automate the process of inspecting houses for mold damage. It might save time and increase detection accuracy.

  2. Home Improvement Apps: Add this model to home improvement or repair apps. Users can take a picture of their walls, and the app could provide an instant assessment of whether there's potential mold growth.

  3. Maintenance Inspections: The model can be utilized in regular maintenance inspections in large facilities like hotels, hospitals, or office buildings. Such an application would help in preventing deterioration of infrastructure and maintaining a healthy environment.

  4. Insurance Claim Verification: Insurance companies could use this model to automate the policy claim verification process related to mould-inflicted damages on properties.

  5. Public Health Studies: The model may be used for research and data collection in public health studies in areas where mould growth is a concern, helping to understand the extent and impact of the problem.

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LICENSE
CC BY 4.0

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

                        @misc{
                            mould-detection-aaron_dataset,
                            title = { mould-detection-Aaron  Dataset },
                            type = { Open Source Dataset },
                            author = { DissertationProject },
                            howpublished = { \url{ https://universe.roboflow.com/dissertationproject/mould-detection-aaron } },
                            url = { https://universe.roboflow.com/dissertationproject/mould-detection-aaron },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2025-01-03 },
                            }
                        
                    

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