GVLM_Cropped_256 / README.md
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metadata
dataset_info:
  features:
    - name: imageA
      dtype: image
    - name: imageB
      dtype: image
    - name: label
      dtype: image
  splits:
    - name: train
      num_bytes: 112278146.48
      num_examples: 4558
    - name: test
      num_bytes: 37388998.684
      num_examples: 1519
    - name: val
      num_bytes: 37425501.773
      num_examples: 1519
  download_size: 186554180
  dataset_size: 187092646.937

Dataset Card for "GVLM_Cropped_256"

This is an official release of the GVLM-CD dataset. In this version, we cropped the images into patches of size 256*256.

If you use GVLM-CD in a scientific publication, we would appreciate using the following citations:

@article{zhang2023cross,
  title={Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning},
  author={Zhang, Xiaokang and Yu, Weikang and Pun, Man-On and Shi, Wenzhong},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={197},
  pages={1--17},
  year={2023},
  publisher={Elsevier}
}

More Information needed