metadata
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
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Dataset Card for Changen2-S9-27k
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
- Repository: https://github.com/Z-Zheng/pytorch-change-models
- Paper: https://ieeexplore.ieee.org/document/10713915
Citation
BibTeX:
@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}
}