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README.md

PWC PWC

Curtó & Zarza

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

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

Churchill — 'We shall never surrender'.

Links to Download:

Curtó & Zarza (4 GB). Preview.

DeCurtó+ (38 GB). Preview.

Alternate Links to Download:

Curtó & Zarza (4 GB). Curtó & Zarza (4 GB).

DeCurtó+ (38 GB). Preview.

128x128 DeCurtó+ (2 GB). Preview.


Curtó & Zarza

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

School of Computer Science. Carnegie Mellon.

For more information about the dataset, visit the website:

www.decurto.tw

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 Samples (trained on CelebA).

Version 2.0, released on 09/02/2018, add HDCGAN HQ Synthetic Samples (trained on CelebA).

Version 3.0, released on 17/04/2020, add DeCurtó+, a collection of 40,000+ HDCGAN Synthetic Samples (trained on CelebA-hq).


File Information from c

  • 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) and Labels (c/extra/labels). 3,384 cropped faces with labels, Ethnicity: White.

File Information from DeCurtó+

  • HDCGAN Synthetic Samples (DeCurto+/DeCurto01-04, DeCurto+/DeZarza01).
    • 44,896 faces generated by HDCGAN trained on CelebA-hq. Unfiltered images from epoch 161 to 221.
  • HDCGAN Synthetic Samples (DeCurto+/DeCurto+01-04, DeCurto+/DeZarza+01).
    • Subset of 16,222 samples from the corresponding folders above that are correctly classified as faces given the default parameters of opencv.

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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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