nave cohen
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b8019de
dataset-card update
Browse files- README.md +25 -0
- dataset_config.yaml +0 -23
README.md
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@@ -15,3 +15,28 @@ This dataset is part of the Urban Climate project. It contains satellite images
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- **test/**: Contains test images and masks to evaluate the model.
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- **test/Image/**: Satellite images for testing.
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- **test/Mask/**: Test masks corresponding to the images.
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- **test/**: Contains test images and masks to evaluate the model.
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- **test/Image/**: Satellite images for testing.
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- **test/Mask/**: Test masks corresponding to the images.
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---
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "data/train/metadata.csv"
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- split: validation
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path: "data/validation/metadata.csv"
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- split: test
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path: "data/test/metadata.csv"
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features:
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image:
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dtype: image
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description: High-resolution input images of urban environments.
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mask:
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dtype: image
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description: Binary segmentation masks corresponding to each input image.
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license: CC BY-SA 4.0
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citation: |
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@article{your_citation}
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---
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dataset_config.yaml
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name: urban_climate_building_detection
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description: |
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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.
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data_files:
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- split: train
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path: "data/train/metadata.csv"
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- split: validation
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path: "data/validation/metadata.csv"
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- split: test
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path: "data/test/metadata.csv"
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features:
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image:
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dtype: image
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description: High-resolution input images of urban environments.
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mask:
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dtype: image
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description: Binary segmentation masks corresponding to each input image.
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-
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license: CC BY-SA 4.0
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citation: |
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@article{your_citation}
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