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**FacadeElements – A Dataset of Building Facades with Annotated Windows, Doors, and Balconies** This dataset contains **3,494 photographs** of real-world building facades, carefully annotated for object detection and instance segmentation tasks. **Annotated classes:**- **Window**- **Single door** (includes wooden, metal, glass, and other materials)- **Double door**- **Balcony** Every image has been manually labeled with **bounding boxes**, making it ideal for training and evaluating deep learning models in architectural element detection, urban scene understanding, and façade parsing. **Key features:**- 3,494 real-world façade images from diverse architectural styles and regions- Consistent, high-quality annotations following a unified labeling protocol- Doors are categorized as single or double (material variations such as wood, metal, or glass are preserved within the same class)- Suitable for YOLO, Faster R-CNN, Mask R-CNN, Detectron2, MMDetection, and other modern detectors- Ready-to-use for training, validation, and benchmarking Intended use: computer vision research, automated architectural analysis, building information modeling (BIM), urban documentation, and heritage preservation studies. Feel free to cite this dataset in your research papers and projects!