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Curtó & Zarza is the first GAN (Generative Adversarial Networks) augmented dataset of faces. A key step towards Artificial General Intelligence (AGI).
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HDCGAN.pdf
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README.md
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README.md

Curtó & Zarza

Curtó is the first GAN (Generative Adversarial Networks) augmented dataset of faces. A key step towards Artificial General Intelligence (AGI).

Neil Armstrong — 'That's one small step for a man, one giant leap for mankind'.

Links to Download:

Curtó & Zarza (4 GB). Preview.

Alternate Links to Download:

Curtó & Zarza (4 GB).

Curtó & Zarza (4 GB).


Curtó & Zarza

Department of Computer Science and Engineering. The Chinese University of Hong Kong.

For more information about the dataset, visit the website:

http://curto.hk/publication/hdcgan/

If you use the dataset in a publication, please cite the paper below:

Curtó, J. D., Zarza, I. C., Torre, F., King, I., Lyu, M. R. High-resolution Deep Convolutional Generative Adversarial Networks. 2017.

Please note that we do not own the copyrights to these images. Their use is RESTRICTED to non-commercial research and educational purposes.


Change Log

Version 1.0, released on 17/11/2017.

Version 1.1, released on 21/11/2017, add labels with attribute information.

Version 1.2, released on 19/01/2018, add supplementary samples and labels.

Version 1.3, released on 27/01/2018, add HDCGAN Synthetic Images.

Version 2.0, released on 09/02/2018, add HDCGAN HQ Synthetic Images.


File Information

  • Samples (c/samples) 14,248 cropped faces. Balanced in terms of ethnicity: African American, East-asian, South-asian and White. Mirror images included to enhance pose variation.
  • Labels (c/labels) JSON files with attribute information: Gender, Age, Ethnicity, Hair Color, Hair Style, Eyes Color, Facial Hair, Glasses, Visible Forehead, Hair Covered and Smile.
  • HDCGAN Synthetic Images (c/hdcgan) 4,239 faces generated by HDCGAN trained on CelebA.
    • Samples (c/hdcgan/samples) Original 512x512 image size.
    • Resized Samples (c/hdcgan/samples_128) 128x128 image size.
  • Additional Images (c/extra)
    • Samples (c/extra/samples), Labels (c/extra/labels) 3,384 cropped faces with labels, Ethnicity: White.
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