size_categories:10K<n<100K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
configs:
  - config_name: default
    data_files:
      - split: train
        path: "data/train.parquet"
      - split: validation
        path: "data/validation.parquet"
      - split: test
        path: "data/test.parquet"
dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype: 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.parquet**: Contains the training images and masks in a parquet format.
- **validation.parquet**: Contains the validation images and masks in a parquet format for model evaluation.
- **test.parquet**: Contains the test images and masks in a parquet format to evaluate the model.

Each parquet file includes:

- **image**: The original satellite image used for the respective split (train, validation, or test).
- **mask**: The binary mask where buildings are labeled, corresponding to the image.

### Dataset Details:

- **Images**: High-resolution satellite images of urban environments.
- **Masks**: Binary segmentation masks that indicate building footprints.

### Usage:

This dataset is intended for tasks such as building detection and segmentation in urban areas using machine learning and computer vision techniques.
