Optimization of Python sorting algorithm for CIFAR-10 image classification dataset

Kangjie Cao; Yichao Gan; Qianhang Huang; Jinyao Wu; Jiayun Li; Jueqiao Huang

doi:10.1117/12.3011489

7 December 2023 Optimization of Python sorting algorithm for CIFAR-10 image classification dataset

Kangjie Cao, Yichao Gan, Qianhang Huang, Jinyao Wu, Jiayun Li, Jueqiao Huang

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294127 (2023) https://doi.org/10.1117/12.3011489
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

In the burgeoning era of deep learning and computer vision, image classification has become paramount across diverse domains. The CIFAR-10 dataset, emblematic in image classification, garners widespread attention from scholars. Yet, the imperative of data preprocessing, especially sorting, cannot be understated, especially for expansive datasets like CIFAR-10. This paper sheds light on a novel optimization technique addressing the snags encountered by traditional Python sorting algorithms with CIFAR-10. Rigorous experimental validations underscore remarkable enhancements in sorting efficacy and precision, paving the way for robust preprocessing in ensuing image classification tasks.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kangjie Cao, Yichao Gan, Qianhang Huang, Jinyao Wu, Jiayun Li, and Jueqiao Huang "Optimization of Python sorting algorithm for CIFAR-10 image classification dataset", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294127 (7 December 2023); https://doi.org/10.1117/12.3011489

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