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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: int32 |
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- name: seismic |
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dtype: image |
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- name: label |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 3478168408.588 |
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num_examples: 1081 |
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- name: valid |
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num_bytes: 865534940 |
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num_examples: 269 |
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download_size: 1922023251 |
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dataset_size: 4343703348.587999 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: valid |
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path: data/valid-* |
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license: cc-by-4.0 |
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task_categories: |
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- image-segmentation |
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--- |
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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 |
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The dataset is originally available on Zenodo https://zenodo.org/records/12798750 |
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And licensed under Creative Commons Attribution 4.0 International |
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Please cite the following article if you use this dataset: |
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@misc{guo2024crossdomainfoundationmodeladaptation, |
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title={Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis}, |
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author={Zhixiang Guo and Xinming Wu and Luming Liang and Hanlin Sheng and Nuo Chen and Zhengfa Bi}, |
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year={2024}, |
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eprint={2408.12396}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2408.12396}, |
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} |
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Additional information can be found at https://github.com/porestart/seismic-datasets |
