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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]
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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}
}
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