Add dataset card, link to paper and code
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by nielsr HF Staff - opened
README.md
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license: mit
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---
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---
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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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# PerASCD Datasets
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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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* **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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## Dataset Description
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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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### Expected Directory Structure
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After downloading, the data should be structured as follows:
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```text
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SECOND/
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βββ train/
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β βββ im1/
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β βββ im2/
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β βββ label1/
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β βββ label2/
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βββ val/
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βββ im1/
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βββ im2/
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βββ label1/
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βββ label2/
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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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## Citation
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If you use this dataset or the associated code in your research, please cite:
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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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```
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