column2 Computer Vision Project

recthesis

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Description

Here are a few use cases for this project:

  1. Architectural Design: This model can be used by architects and builders to identify and classify different types of columns in building structures, aiding in the process of renovation or emulation of particular architectural styles.

  2. Heritage Preservation: Organizations involved in preserving historical monuments can use this AI tool to catalog and document ancient and historical architectural columns.

  3. Augmented Reality Applications: In interactive AR applications, this model can help recognize certain architectural elements and overlay relevant information, such as when it was built, the style, and more.

  4. Infrastructure Maintenance: Engineers can utilize "column2" to inspect building infrastructure and automatically identify potential safety concerns or structural issues related to specific column types.

  5. Real Estate Photography: Real estate photographers and agents can use the model to recognize, label and categorize images of properties with unique architectural column features, making their listings more descriptive and searchable.

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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{
                            column2_dataset,
                            title = { column2 Dataset },
                            type = { Open Source Dataset },
                            author = { recthesis },
                            howpublished = { \url{ https://universe.roboflow.com/recthesis/column2 } },
                            url = { https://universe.roboflow.com/recthesis/column2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-14 },
                            }
                        
                    

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