Datasets:
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dataset_info:
features:
- name: id
dtype: int32
- name: seismic
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 3478168408.588
num_examples: 1081
- name: valid
num_bytes: 865534940
num_examples: 269
download_size: 1922023251
dataset_size: 4343703348.587999
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 |