| # Urban Climate Dataset | |
| ## Dataset Description | |
| This dataset is part of the Urban Climate project. It contains satellite images of urban areas and corresponding segmentation masks that are used for building detection and segmentation tasks. | |
| ### Files and Structure: | |
| - **train/**: Contains training images and masks. | |
| - **train/Image/**: Original satellite images used for training. | |
| - **train/Mask/**: Binary masks where buildings are labeled. | |
| - **validation/**: Contains validation images and masks for model evaluation. | |
| - **validation/Image/**: Satellite images for validation. | |
| - **validation/Mask/**: Validation masks corresponding to the images. | |
| - **test/**: Contains test images and masks to evaluate the model. | |
| - **test/Image/**: Satellite images for testing. | |
| - **test/Mask/**: Test masks corresponding to the images. | |
| --- | |
| configs: | |
| - name: urban_climate_building_detection | |
| description: | | |
| This dataset is designed for the task of building detection in urban environments using image segmentation. It includes high-resolution aerial or satellite images of urban areas, paired with corresponding segmentation masks that delineate building footprints. | |
| data_files: | |
| train: - data/train/Image/_.png - data/train/Mask/_.png | |
| validation: - data/validation/Image/_.png - data/validation/Mask/_.png | |
| test: - data/test/Image/_.png - data/test/Mask/_.png | |
| features: | |
| image: | |
| dtype: image | |
| description: High-resolution input images of urban environments. | |
| mask: | |
| dtype: image | |
| description: Binary segmentation masks corresponding to each input image. | |
| license: CC BY-SA 4.0 | |
| citation: | | |
| @article{your_citation} | |
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