| | --- |
| | dataset_info: |
| | features: |
| | - name: id |
| | dtype: int32 |
| | - name: seismic |
| | dtype: image |
| | - name: label |
| | dtype: image |
| | splits: |
| | - name: train |
| | num_bytes: 120649829 |
| | num_examples: 115 |
| | - name: valid |
| | num_bytes: 29375385 |
| | num_examples: 28 |
| | download_size: 149989771 |
| | dataset_size: 150025214 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: valid |
| | path: data/valid-* |
| | license: cc-by-4.0 |
| | task_categories: |
| | - image-segmentation |
| | --- |
| | This dataset is part of the work by Guo Zhixiang et al.https://github.com/ProgrammerZXG/Cross-Domain-Foundation-Model-Adaptation?tab=readme-ov-file |
| |
|
| | The dataset is originally available on Zenodo https://zenodo.org/records/12798750 |
| | And licensed under Creative Commons Attribution 4.0 International |
| |
|
| | Please cite the following article if you use this dataset: |
| | @misc{guo2024crossdomainfoundationmodeladaptation, |
| | title={Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis}, |
| | author={Zhixiang Guo and Xinming Wu and Luming Liang and Hanlin Sheng and Nuo Chen and Zhengfa Bi}, |
| | year={2024}, |
| | eprint={2408.12396}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CV}, |
| | url={https://arxiv.org/abs/2408.12396}, |
| | } |
| | |
| |
|
| | Additional information can be found at https://github.com/porestart/seismic-datasets |
| |
|
