Orion_Sequus Computer Vision Project

Woosong University

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Description

Here are a few use cases for this project:

  1. Architectural Design Analysis: Orion_Sequus can be used by architects, engineers, and construction professionals to quickly identify and categorize different elements, such as room names, dimensions, and materials, in building blueprints. This can help streamline the design review process and improve collaboration among team members.

  2. Building Code Compliance: Orion_Sequus can assist in ensuring that building plans adhere to local and international building codes and regulations. By automatically identifying text classes on blueprints, the model can highlight potential violations or discrepancies and reduce the time needed for manual code review.

  3. Document Digitization and Management: Use Orion_Sequus to convert analog blueprints, technical drawings, or other image-based documents containing text into digital, searchable, and organized assets. This extends the value and accessibility of these documents for a wide range of professionals, including architects, contractors, and historians.

  4. Accessibility and Navigation Solutions: Orion_Sequus can help create digital, interactive blueprints of public buildings, shopping centers, or other large complexes for use in mobile apps, online wayfinding systems, or accessibility solutions for visually impaired users.

  5. Real Estate and Property Management: Real estate professionals and property managers can use the Orion_Sequus model to quickly sort and analyze blueprints for property listings, visualize square footage, and calculate precise estimates of renovations or tenant improvements. This can facilitate more informed decision-making and improve the overall efficiency of property management operations.

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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{
                            orion_sequus_dataset,
                            title = { Orion_Sequus Dataset },
                            type = { Open Source Dataset },
                            author = { Woosong University },
                            howpublished = { \url{ https://universe.roboflow.com/woosong-university/orion_sequus } },
                            url = { https://universe.roboflow.com/woosong-university/orion_sequus },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-19 },
                            }
                        
                    

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