--- 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 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:** ```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} } ``````