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--- |
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dataset_info: |
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features: |
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- name: t1_image |
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dtype: image |
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|
- name: t2_image |
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dtype: image |
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|
- name: t1_mask |
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dtype: image |
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- name: t2_mask |
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dtype: image |
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|
- name: change_mask |
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dtype: image |
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|
- name: image_name |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 12408732436.65 |
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num_examples: 15459 |
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|
download_size: 12398780076 |
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|
dataset_size: 12408732436.65 |
|
|
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-* |
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license: cc-by-nc-sa-4.0 |
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|
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|
extra_gated_prompt: "This model is released for research and educational purposes only. Access to the model is granted upon agreement to use it ethically, responsibly, and in compliance with the stated license (CC BY-NC 4.0)." |
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extra_gated_fields: |
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Full Name: text |
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|
Institution / Organization: text |
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|
Position / Title: text |
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|
Company / School: text |
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|
Country: country |
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|
I want to use this model for: |
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type: select |
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options: |
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- Research |
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- Education |
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|
- label: Other |
|
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value: other |
|
|
I agree to use this model for non-commercial use ONLY: checkbox |
|
|
I confirm I will not use this model to cause harm to human subjects or the environment: checkbox |
|
|
|
|
|
--- |
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# Dataset Card for Changen2-S1-15k |
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<!-- Provide a quick summary of the dataset. --> |
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Changen2-S1-15k (a building change dataset with 15k pairs and 2 change types), 0.3-1m spatial resolution, RGB bands |
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### Dataset Sources |
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<!-- Provide the basic links for the dataset. --> |
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- **Repository:** https://github.com/Z-Zheng/pytorch-change-models |
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- **Paper:** https://ieeexplore.ieee.org/document/10713915 |
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## Citation |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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|
```text |
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@article{zheng_changen2, |
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author={Zheng, Zhuo and Ermon, Stefano and Kim, Dongjun and Zhang, Liangpei and Zhong, Yanfei}, |
|
|
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, |
|
|
title={Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model}, |
|
|
year={2025}, |
|
|
volume={47}, |
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|
number={2}, |
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pages={725-741}, |
|
|
doi={10.1109/TPAMI.2024.3475824} |
|
|
} |
|
|
``` |
