Shopee Image Dataset(Thailand)

The images for the initial stage of this study were collected using Shopee Data Scraper, a tool for extracting product data from the Shopee website. This study makes use of five categories. Pants, mid-length dress, hoodie, jacket, and mid-length skirt are included. Total 958 images of products were obtained. We gathered images in a variety of resolutions, with and without background noise, as well as images captured by vendors. On the other hand, we gathered e-commerce photos from Google image according to our categories.

Please cite this paper

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MDPI and ACS Style

Thwe, Y.; Jongsawat, N.; Tungkasthan, A. A Semi-Supervised Learning Approach for Automatic Detection and Fashion Product Category Prediction with Small Training Dataset Using FC-YOLOv4. Appl. Sci. 2022, 12, 8068. https://doi.org/10.3390/app12168068

AMA Style

Thwe Y, Jongsawat N, Tungkasthan A. A Semi-Supervised Learning Approach for Automatic Detection and Fashion Product Category Prediction with Small Training Dataset Using FC-YOLOv4. Applied Sciences. 2022; 12(16):8068. https://doi.org/10.3390/app12168068

Chicago/Turabian Style

Thwe, Yamin, Nipat Jongsawat, and Anucha Tungkasthan. 2022. "A Semi-Supervised Learning Approach for Automatic Detection and Fashion Product Category Prediction with Small Training Dataset Using FC-YOLOv4" Applied Sciences 12, no. 16: 8068. https://doi.org/10.3390/app12168068