license: mit
task_categories:
- image-segmentation
language: - en
pretty_name: CSeg
size_categories: - 100K<n<1M
Dataset Card for Dataset Name
CSeg (Change Segmentation) dataset is a large-scale, varying-view, and text-guided change detection dataset. With over 500k datapoints, CSeg was used to train ViewDelta to associate a text prompt to relevant changes between two images.
Paper and Repo
- Repository: Github
- Paper: ViewDelta: Text-Prompted Change Detection in Unaligned Images
Dataset Download
wget https://huggingface.co/datasets/hoskerelab/CSeg/resolve/main/download.sh
bash download.sh
Dataset Structure
cseg_test.csv and cseg_train.csv have been provided to provide the paths of the corresponding Image A, Image B, and their Label.
cseg/
├── test/
│ ├── image_a
│ │ ├── 223762_1.png
│ │ ├── 223797_1.png
│ │ └── ...
│ ├── image_b
│ │ ├── 223762_1.png
│ │ ├── 223797_1.png
│ │ └── ...
│ └── label
│ ├── 223762_1.png
│ ├── 223797_1.png
│ └── ...
├── train/
│ ├── image_a
│ │ ├── 223750_1.png
│ │ ├── 223751_1.png
│ │ └── ...
│ ├── image_b
│ │ ├── 223750_1.png
│ │ ├── 223751_1.png
│ │ └── ...
│ └── label
│ ├── 223750_1.png
│ ├── 223751_1.png
│ └── ...
├── cseg_test.csv
└── cseg_train.csv
Citation
@misc{varghese2025viewdeltatextpromptedchangedetection,
title={ViewDelta: Text-Prompted Change Detection in Unaligned Images},
author={Subin Varghese and Joshua Gao and Vedhus Hoskere},
year={2025},
eprint={2412.07612},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2412.07612},
}