architecturalbuildings3 Object Detection Dataset and Pre-Trained Model by meryem

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Explore Dataset

Here are a few use cases for this project:

Virtual Travel Guide: This model could be incorporated into a mobile app which helps travelers to identify and learn about different architectural styles when visiting a new city. The app could provide historical background and other relevant details of the identified buildings.
Real Estate Development: Developers could use this model to understand local architectural aesthetics and to devise designs that complement existing structures. This could lead to more successful projects by blending new construction harmoniously with the existing neighborhood style.
City Planning and Preservation: Urban planners and architects could use this model to assess a city's architectural heritage, aiding in preservation efforts and helping them design development strategies that respect local architectural histories.
Education: This model can be used in eLearning platforms for architectural students or enthusiasts. It can facilitate learning about different architectural styles by providing examples from real-world buildings.
Interactive Museum Experiences: Museums could use this model to create interactive exhibits that help visitors understand different architectural periods and styles. By pointing their smartphones at models or pictures, users could get immediate information about the architectural style and its history.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            architecturalbuildings3_dataset,
                            title = { architecturalbuildings3 Dataset },
                            type = { Open Source Dataset },
                            author = { meryem },
                            howpublished = { \url{ https://universe.roboflow.com/meryem-dgz60/architecturalbuildings3 } },
                            url = { https://universe.roboflow.com/meryem-dgz60/architecturalbuildings3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-26 },
                            }