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Open Datasets
Male and Female Faces Dataset
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Male and Female Faces Dataset

This dataset includes 2,700 images of male faces and 2,700 images of female faces, from multiple ethnicities and age groups (12-13% are elderly). It is intended for facial recognition and image generation projects.

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Size

5,418 color images, various resolutions

Licence

CC0: Public Domain

Description

Male and Female Faces Dataset is a set of uncompressed images representing approximately 2,700 male and 2,700 female faces. Ethnic and age diversity is included, which allows for good representativeness for model training.

What is this dataset for?

  • Training gender recognition models from facial images
  • Studying ethnic and demographic diversity in image datasets
  • Develop face generators or classifiers by gender

Can it be enriched or improved?

You can enrich this dataset by adding annotations on the expression, the pose, or even the image quality. Increasing data with high-resolution images or under various conditions would also improve its value.

🔎 In summary

Criterion Evaluation
🧩 Ease of use⭐⭐⭐⭐✩ (Simple dataset to exploit)
🧼 Need for cleaning⭐⭐⭐⭐⭐ (Low, but possible duplicate checking)
🏷️ Annotation richness⭐⭐✩✩✩ (Basic, genre only)
📜 Commercial license✅ Yes (CC0)
👨‍💻 Beginner friendly✅ Suitable for beginners in computer vision
🔁 Fine-tuning ready✅ Suitable for CNN and GAN fine-tuning
🌍 Cultural diversity🌈 Moderate ethnic and age diversity

🧠 Recommended for

  • Computer vision researchers
  • Biometric system developers
  • AI students

🔧 Compatible tools

  • TensorFlow
  • PyTorch
  • OpenCV
  • Dlib

💡 Tip

Use augmentation techniques to compensate for the average size of the dataset.

Frequently Asked Questions

Does this dataset cover multiple ethnicities?

Yes, it includes faces from various ethnicities, but the exact distribution is not specified.

What is the approximate age of the subjects?

The topics cover several age groups, with around 12-13% of seniors.

Is this dataset suitable for generating facial images?

Yes, it can be used to train generators or classifiers of facial images by gender.

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