The dataset is currently empty. Upload or create new data files. Then, you will be able to explore them in the Dataset Viewer.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

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. ...""


license: apache-2.0

Downloads last month
9