K-Hairstyle: A Large-scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification
This dataset addresses a bottleneck for researchers and developers in the hair and beauty industry by providing a resource for virtual hair editing and classification tasks, though it is incremental as it builds on existing dataset efforts.
The authors tackled the lack of large-scale, high-resolution hairstyle datasets by introducing K-Hairstyle, a dataset with 500,000 high-resolution Korean hairstyle images annotated by experts, which improved performance in applications like hair dyeing and classification.
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 transfer, to satisfy the customer's 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 transfer, and hairstyle classification. K-hairstyle is publicly available at https://psh01087.github.io/K-Hairstyle/.