HDB Indoor Inspection - Generation 2 Computer Vision Project

new-workspace-oia0f

Updated 2 years ago

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Classes (3)
Crack
Power Plug
Window
Description

Here are a few use cases for this project:

  1. Infrastructure Maintenance: Use the model to inspect buildings and infrastructures for cracks, damages to windows, and irregularities at power plug points. This will ensure safety and promote prompt renovations.

  2. Real Estate Inspection: Real-estate agents could employ this model to identify potential issues in apartments, homes, and commercial buildings before buying or selling. This aids in assuring quality to the customers and extracting the right price for the property.

  3. Aviation Industry: Aircraft cabin maintenance teams can use the model to detect cracks or window damages inside the aircraft for ensuring passenger safety and compliance with safety standards.

  4. Industrial Inspections: Manufacturers and production units can use this model to prevent safety hazards by identifying power plug issues or structure damages before accidents happen.

  5. Insurance: Insurance companies can use this model to assess the state of insured properties. This could help in claim validation by ensuring the authenticity of claimed damages.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            hdb-indoor-inspection---generation-2_dataset,
                            title = { HDB Indoor Inspection - Generation 2 Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-oia0f },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-oia0f/hdb-indoor-inspection---generation-2 } },
                            url = { https://universe.roboflow.com/new-workspace-oia0f/hdb-indoor-inspection---generation-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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