Testing_ROI Computer Vision Project

staff

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Classes (4)
Floor
Wall A
Window
Window A
Description

Here are a few use cases for this project:

  1. Construction Site Monitoring: "Testing_ROI" can be used to monitor the progress of construction projects by identifying various elements such as Window A, Wall A, and Floor in images captured at different stages of construction. This can help project managers to track work completion and allocate resources efficiently.

  2. Interior Design Planning: Interior designers and architects can use the "Testing_ROI" model to identify windows, walls, and floors of a space to plan and visualize designs by accurately measuring and positioning furniture, fixtures, and other design elements.

  3. Building Inspections and Damage Assessment: The "Testing_ROI" model can be employed in assessing a building's structural integrity and detecting potential damages. By identifying and analyzing key elements like Window A and Wall A, potential weak points and necessary repairs can be spotted.

  4. Real Estate Virtual Tours: Real estate agents can leverage "Testing_ROI" to better showcase properties and provide immersive virtual tours for prospective buyers. The model can automatically identify and annotate different elements like windows, walls, and floors, helping buyers get a clearer understanding of the property's layout and features.

  5. Smart Home Applications: "Testing_ROI" can be integrated with smart home systems for a more customized and user-friendly experience. The model can identify and distinguish between different areas and objects, enabling the system to intelligently control lighting, temperature, and other environmental conditions based on specific room settings.

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{
                            testing_roi_dataset,
                            title = { Testing_ROI Dataset },
                            type = { Open Source Dataset },
                            author = { staff },
                            howpublished = { \url{ https://universe.roboflow.com/staff-uwyzv/testing_roi } },
                            url = { https://universe.roboflow.com/staff-uwyzv/testing_roi },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-10-18 },
                            }
                        
                    

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