Exploring Data Augmentation Ratios for YOLO-Based Multi-Category Clothing Image Classification by Model Size
Seyeon Park, Sunga Hwang, Beakcheol Jang, Journal of Internet Computing and Services, Vol. 25, No. 5, pp. 95-105, Oct. 2024
10.7472/jksii.2024.25.5.95, Full Text:
Keywords: clothing classification, Object Detection, color extraction, hyper-parameter fine-tuning, Image Augmentation
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[APA Style]
Park, S., Hwang, S., & Jang, B. (2024). Exploring Data Augmentation Ratios for YOLO-Based Multi-Category Clothing Image Classification by Model Size. Journal of Internet Computing and Services, 25(5), 95-105. DOI: 10.7472/jksii.2024.25.5.95.
[IEEE Style]
S. Park, S. Hwang, B. Jang, "Exploring Data Augmentation Ratios for YOLO-Based Multi-Category Clothing Image Classification by Model Size," Journal of Internet Computing and Services, vol. 25, no. 5, pp. 95-105, 2024. DOI: 10.7472/jksii.2024.25.5.95.
[ACM Style]
Seyeon Park, Sunga Hwang, and Beakcheol Jang. 2024. Exploring Data Augmentation Ratios for YOLO-Based Multi-Category Clothing Image Classification by Model Size. Journal of Internet Computing and Services, 25, 5, (2024), 95-105. DOI: 10.7472/jksii.2024.25.5.95.