Indonesian Labeled Face in the Wild (ILFW)

Dataset Description

The Indonesian Labeled Face in the Wild (ILFW) dataset is a labeled face image dataset shared to help researchers build Indonesian-based face recognition models. It consists of facial images of Indonesian public figures.

Dataset Structure

Each subdirectory corresponds to a unique identity. The directory name serves as the identity label, and the .jpg images inside are face samples of that person.

• Format: JPEG images
• Labels: Directory names (one folder per identity)

Dataset Statistics

• Identities: 1,400
• Total Images: 31,820

Collection Process

Images in this dataset were collected via Google search from publicly available sources.

Ethical Considerations

This dataset was compiled from publicly accessible images on the web. Users should be mindful of privacy and ethics when using facial data and ensure their applications comply with local laws and ethical guidelines regarding biometric data.

Intended Use

This dataset is intended for academic and research purposes to train, validate, and benchmark face recognition systems on Indonesian faces.

Citation

If you use this dataset in your research, please cite:

@article{wirianto2021masked,
  author    = {Wirianto and Mauritsius, Tuga},
  title     = {Masked Face Recognition Using ArcFace Loss for Indonesian People},
  journal   = {International Journal of Innovative Computing, Information and Control (IJICIC)},
  volume    = {17},
  number    = {5},
  pages     = {1531--1540},
  year      = {2021},
  month     = {October},
  doi       = {10.24507/ijicic.17.05.1531},
  url       = {http://ijicic.org}
}

License

This dataset is released under the MIT License.