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---
dataset_info:
features:
- name: t1_image
dtype: image
- name: t2_image
dtype: image
- name: t1_mask
dtype: image
- name: t2_mask
dtype: image
- name: change_mask
dtype: image
- name: image_name
dtype: string
splits:
- name: train
num_bytes: 24925879278
num_examples: 27000
download_size: 24928523235
dataset_size: 24925879278
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-nc-sa-4.0
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)."
extra_gated_fields:
Full Name: text
Institution / Organization: text
Position / Title: text
Company / School: text
Country: country
I want to use this model for:
type: select
options:
- Research
- Education
- label: Other
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
---
# Dataset Card for Changen2-S9-27k
<!-- Provide a quick summary of the dataset. -->
Changen2-S9-27k (an urban land-use/landcover change dataset with 27k pairs and 38 change types), 0.25-0.5m spatial resolution, RGB bands
Mask information (following OpenEarthMap dataset):
Background = 0
Bareland = 1
Rangeland = 2
DevelopedSpace = 3
Road = 4
Tree = 5
Water = 6
AgricultureLand = 7
Building = 8
### Dataset Sources
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/Z-Zheng/pytorch-change-models
- **Paper:** https://ieeexplore.ieee.org/document/10713915
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
```text
@article{zheng_changen2,
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},
number={2},
pages={725-741},
doi={10.1109/TPAMI.2024.3475824}
}
``````