K-Hairstyle: A Large-Scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification

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The hair and beauty industry is a fast-growing industry. This led to the development of various applications, such as virtual hair dyeing or hairstyle translations, to satisfy the customer needs. Although several hairstyle datasets are available for these applications, they often consist of a relatively small number of images with low resolution, thus limiting their performance on high-quality hair editing. In response, we introduce a novel large-scale Korean hairstyle dataset, K-hairstyle, containing 500,000 high-resolution images. In addition, K-hairstyle includes various hair attributes annotated by Korean expert hairstylists as well as hair segmentation masks. We validate the effectiveness of our dataset via several applications, such as hair dyeing, hairstyle translation, and hairstyle classification. K-hairstyle is publicly available at https://psh01087.github.io/K-Hairstyle.
Publisher
ICIP
Issue Date
2021-09-22
Language
English
Citation

2021 IEEE International Conference on Image Processing(ICIP), pp.1299 - 1303

DOI
10.1109/ICIP42928.2021.9506557
URI
http://hdl.handle.net/10203/290621
Appears in Collection
RIMS Conference Papers
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