instance-wall Instance Segmentation Dataset and Pre-Trained Model by Skalup

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Explore Dataset

Here are a few use cases for this project:

Interior Design Applications: The "instance-wall" model can be utilised in interior design apps to help users visualize different design elements by identifying key structures, distinguishing between walls, windows, and doors. Redesigning layouts or suggesting furniture placement could be made easy.
Virtual Reality: In virtual reality simulations for real estate tours or gaming environments, this model can map and replicate real-world spaces by identifying key features.
Construction and Architecture: This model can be valuable for architects and construction professionals to scan and analyze the structure of a room, providing accurate measurements, and identifying the potential impact of adjusting walls, windows or doors.
Surveillance Systems: Security systems can utilize this model to detect unusual activities, such as if a window or door is being opened at unusual timings, providing alerts and adding extra layers to security.
Augmented Reality Experiences: By being able to identify walls, doors, and windows, this model could help create AR experiences that interact with physical spaces in meaningful ways - such as virtual art that appears on walls or animations that interact with windows and doors.

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{
                            instance-wall_dataset,
                            title = { instance-wall Dataset },
                            type = { Open Source Dataset },
                            author = { Skalup },
                            howpublished = { \url{ https://universe.roboflow.com/skalup/instance-wall } },
                            url = { https://universe.roboflow.com/skalup/instance-wall },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-06-05 },
                            }