| This collection is for training ML to recognize korean faces, especially North Korean Male faces. | |
| If you have any size images including Korean faces, especially North Korean Male faces, and outdoors photos, please contribute by writing URLs (Dropbox, google drive etc ) in Community. | |
| Related but not optimal: | |
| https://paperswithcode.com/paper/new-benchmarks-for-asian-facial-recognition | |
| "This paper introduces a new Large-Scale Korean Influencer Dataset named KoIn. Our presented dataset contains many real-world photos of Korean celebrities in various environments that might contain stage lighting, backup dancers, and background objects. These various images can be useful for training classification models classifying K-influencers. | |
| https://paperswithcode.com/paper/new-benchmarks-for-asian-facial-recognition | |
| "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset" May 2017 | |
| "Figure 5 presents the process of eye detection and segmentation and eye detection. The proposed dataset for eye detection includes eye images from face images of the WIDER FACE dataset [42] and the Wild East Asian Face Dataset (WEAFD) [43]. WEAFD images were collected and labeled into seven ethnic categories to explore the ethnic classification of East Asians. ..."" | |
| "The ethnicity in this paper is considered as a three class classification problem (Asian, Black and White) and the approach is tested on ten different datasets and average classification accuracy over all datasets is 98.28%, 99.66% and 99.05% for Asian, African-American and Caucasian, respectively. The next research analysed was [17]. The authors explored the fine-grained ethnicity classification on East Asian population. ..."" | |
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| license: apache-2.0 | |
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