Integra Studio

Advanced Facial Recognition & Analysis Powered By AI


Integra Studio provides an advanced face image identification and recognition toolkit that is based on prominent open-source software frameworks. It's built using Gradio on top of Python, and Gradio itself is built on top of popular software frameworks.

AI-Powered

Advanced machine learning algorithms

Open Source

Built on open-source frameworks

User-Friendly

Intuitive interface with Gradio

Academic References

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

2019

Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Zou

ICML HILL 2019

@article{abid2019gradio,
  title = {Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild},
  author = {Abid, Abubakar and Abdalla, Ali and Abid, Ali and Khan, Dawood and Alfozan, Abdulrahman and Zou, James},
  journal = {arXiv preprint arXiv:1906.02569},
  year = {2019},
}

A Benchmark of Facial Recognition Pipelines and Co-Usability Performances of Modules

2024

S. Serengil and A. Ozpinar

Journal of Information Technologies, vol. 17, no. 2, pp. 95-107, 2024

@article{serengil2024lightface,
  title = {A Benchmark of Facial Recognition Pipelines and Co-Usability Performances of Modules},
  author = {Serengil, Sefik and Ozpinar, Alper},
  journal = {Journal of Information Technologies},
  volume = {17},
  number = {2},
  pages = {95-107},
  year = {2024},
  doi = {10.17671/gazibtd.1399077},
  url = {https://dergipark.org.tr/en/pub/gazibtd/issue/84331/1399077},
  publisher = {Gazi University}
}
View Publication

LightFace: A Hybrid Deep Face Recognition Framework

2020

S. I. Serengil and A. Ozpinar

2020 Innovations in Intelligent Systems and Applications Conference (ASYU), pp. 23-27

@inproceedings{serengil2020lightface,
  title = {LightFace: A Hybrid Deep Face Recognition Framework},
  author = {Serengil, Sefik Ilkin and Ozpinar, Alper},
  booktitle = {2020 Innovations in Intelligent Systems and Applications Conference (ASYU)},
  pages = {23-27},
  year = {2020},
  doi = {10.1109/ASYU50717.2020.9259802},
  url = {https://ieeexplore.ieee.org/document/9259802},
  organization = {IEEE}
}
View Publication

HyperExtended LightFace: A Facial Attribute Analysis Framework

2021

S. I. Serengil and A. Ozpinar

2021 International Conference on Engineering and Emerging Technologies (ICEET), pp. 1-4

@inproceedings{serengil2021lightface,
  title = {HyperExtended LightFace: A Facial Attribute Analysis Framework},
  author = {Serengil, Sefik Ilkin and Ozpinar, Alper},
  booktitle = {2021 International Conference on Engineering and Emerging Technologies (ICEET)},
  pages = {1-4},
  year = {2021},
  doi = {10.1109/ICEET53442.2021.9659697},
  url = {https://ieeexplore.ieee.org/document/9659697},
  organization = {IEEE}
}
View Publication

Towards Fast, Accurate and Stable 3D Dense Face Alignment

2020

Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li

Proceedings of the European Conference on Computer Vision (ECCV), 2020

@inproceedings{guo2020towards,
  title = {Towards Fast, Accurate and Stable 3D Dense Face Alignment},
  author = {Guo, Jianzhu and Zhu, Xiangyu and Yang, Yang and Yang, Fan and Lei, Zhen and Li, Stan Z},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2020}
}

MiVOLO: Multi-input Transformer for Age and Gender Estimation

2025

Maksim Kuprashevich, Irina Tolstykh

arXiv preprint arXiv:2307.04616

@article{mivolo2025,
  Author = {Maksim Kuprashevich and Irina Tolstykh},
  Title = {MiVOLO: Multi-input Transformer for Age and Gender Estimation},
  Year = {2025},
  Eprint = {arXiv:2307.04616},
}

Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation

2024

Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh

arXiv preprint arXiv:2403.02302

@article{mivolo2024,
  Author = {Maksim Kuprashev and Grigorii Alekseenko and Irina Tolstykh},
  Title = {Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation},
  Year = {2024},
  Eprint = {arXiv:2403.02302},
}