Windows Instance Segmentation Instance Segmentation Dataset and Pre-Trained Model by Roboflow Universe Projects

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Explore Dataset

Here are a few use cases for this project:

Smart Building Design and Analysis: Architects and engineers could use the Windows Instance Segmentation model to automatically analyze building facades in images and identify the distribution, sizes, and styles of windows. This information can be used to improve building designs for daylighting, ventilation, and aesthetic purposes.
Real Estate Appraisal and Listing: Real estate professionals can use the model to analyze property photos, automatically identifying and categorizing windows to create more detailed and accurate property listings. Potential buyers and renters can then use this information for better search results and understanding of architectural features.
Energy Efficiency Analysis: Energy consultants and researchers can utilize the Windows Instance Segmentation model to analyze the prevalence of different window styles and their impact on building energy efficiency. This can help in developing more sustainable building designs and energy retrofit strategies.
Urban Planning and Cityscape Analysis: Urban planners and city officials can make use of this model to assess the distribution of windows in urban environments, understanding how they contribute to the overall aesthetic and livability of neighborhoods. This information can guide zoning regulations and future development projects to create more visually appealing and functional cities.
Augmented Reality (AR) Applications: Developers of AR applications, particularly those focused on architecture and interior design, can integrate the Windows Instance Segmentation model to recognize windows in real-world environments. This can enable users to visualize new window styles, treatments, or decorations, helping them make better-informed design decisions.

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{
                            windows-instance-segmentation_dataset,
                            title = { Windows Instance Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow Universe Projects },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-universe-projects/windows-instance-segmentation } },
                            url = { https://universe.roboflow.com/roboflow-universe-projects/windows-instance-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-18 },
                            }