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---
configs:
- config_name: default
data_files:
- split: train
path: "data/train/metadata.csv"
- split: validation
path: "data/validation/metadata.csv"
- split: test
path: "data/test/metadata.csv"
features:
image:
dtype: image
description: High-resolution input images of urban environments.
mask:
dtype: image
description: Binary segmentation masks corresponding to each input image.
---
# 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.
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