Floorplan Instance Segmentation Dataset and Pre-Trained Model by data

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Explore Dataset

Here are a few use cases for this project:

Real Estate Virtual Tours: The "Floorplan" model can be utilized by real estate agencies to create detailed, interactive virtual tours of properties. This can provide potential buyers with a comprehensive view of the property's layout and floor types.
Architectural Design: Architects can use this model to identify floor types in different sections of a building while designing the layout. It can help in visualizing the final result and making modifications accordingly.
Indoor Navigation: For large buildings such as shopping malls, hospitals, or airports, this model can help in developing indoor navigation systems. It can identify different floors and layout to help users navigate the area with ease.
Home Renovation Apps: This model can be integrated into home renovation applications, allowing users to upload their home's floor plan and get suggestions for renovations based on the identified floor types.
Facility Management Services: Tracking and managing the conditions of various floor types over a large building or complex can be automated using the "Floorplan" model.

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.

Cite This Project

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

@misc{
                            floorplan-xg5fl_dataset,
                            title = { Floorplan Dataset },
                            type = { Open Source Dataset },
                            author = { data },
                            howpublished = { \url{ https://universe.roboflow.com/data-i4il7/floorplan-xg5fl } },
                            url = { https://universe.roboflow.com/data-i4il7/floorplan-xg5fl },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-30 },
                            }