size_categories:1K<n<10K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
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](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)