Add dataset card, link to paper and code

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by nielsr HF Staff - opened
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  license: mit
 
 
 
 
 
 
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  license: mit
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+ task_categories:
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+ - image-segmentation
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+ tags:
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+ - remote-sensing
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+ - change-detection
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+ - semantic-change-detection
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  ---
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+
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+ # PerASCD Datasets
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+
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+ This repository contains the processed datasets (`SECOND` and `LandsatSCD`) with single-channel `uint8` index labels, as presented in the paper [Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery](https://huggingface.co/papers/2602.13780).
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+
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+ * **Repository:** [SathShen/PerASCD](https://github.com/SathShen/PerASCD)
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+ * **Paper:** [Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery](https://huggingface.co/papers/2602.13780)
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+
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+ ## Dataset Description
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+
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+ These datasets are processed for Semantic Change Detection (SCD) in remote sensing imagery. Semantic Change Detection aims to identify changed regions between bi-temporal remote sensing images and predict their semantic categories before and after the change.
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+
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+ ### Expected Directory Structure
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+
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+ After downloading, the data should be structured as follows:
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+
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+ ```text
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+ SECOND/
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+ β”œβ”€β”€ train/
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+ β”‚ β”œβ”€β”€ im1/
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+ β”‚ β”œβ”€β”€ im2/
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+ β”‚ β”œβ”€β”€ label1/
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+ β”‚ └── label2/
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+ └── val/
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+ β”œβ”€β”€ im1/
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+ β”œβ”€β”€ im2/
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+ β”œβ”€β”€ label1/
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+ └── label2/
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+ ```
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+
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+ Each label is a single-channel `uint8` index map:
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+ * `0`: unchanged / ignored
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+ * `1 ~ N`: semantic classes
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+
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+ ## Citation
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+
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+ If you use this dataset or the associated code in your research, please cite:
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+
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+ ```bibtex
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+ @article{shen2026foundation,
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+ title={Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery},
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+ author={Shen, Hengtong and Yan, Li and Xie, Hong and Wei, Yaxuan and Li, Xinhao and Shen, Wenfei and Lv, Peixian and Tan, Fei},
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+ journal={arXiv preprint arXiv:2602.13780},
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+ year={2026}
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+ }
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+ ```