Dataset Card for YOLOv8-TO_Data

The TopOpt Datasets Collection comprises several datasets utilized to evaluate the performance and generalization capabilities of machine learning models specifically tailored for topology optimization (TO). This collection is designed to test models across various TO methods and structural complexities, from optimized structures to random assemblies and out-of-distribution (OOD) samples.

Dataset Details

Dataset Sources [optional]

Repository: https://github.com/COSIM-Lab/YOLOv8-TO
Paper: https://arxiv.org/pdf/2404.18763
Demo: [WORK IN PROGRESS]

Uses

Direct Use

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Dataset Structure

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Dataset Creation

Source Data

Data Collection and Processing

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

BibTeX:

@misc{rochefortbeaudoin2024density,
      title={From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures}, 
      author={Thomas Rochefort-Beaudoin and Aurelian Vadean and Sofiane Achiche and Niels Aage},
      year={2024},
      eprint={2404.18763},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}