---
license: mit
task_categories:
- image-segmentation
language:
- en
pretty_name: CSeg
size_categories:
- 100K<n<1M
---

# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

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

<!-- Provide the basic links for the dataset. -->

- **Repository:** [Github](https://github.com/drags99/ViewDelta)
- **Paper:** [ViewDelta: Text-Prompted Change Detection in Unaligned Images](https://arxiv.org/abs/2412.07612)


## Dataset Download

```
wget https://huggingface.co/datasets/hoskerelab/CSeg/resolve/main/download.sh
bash download.sh
```

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

`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}, 
}
```