bvallelunga / example-app-gender

A machine learning app that will tell you the gender of a person.

Gender

Quickly determine the gender of a face. Trained on hundreds of thousands of IMDB images.

Possible Use Cases

• Adding gender classification to a face detection system
• Targeted messaging to your users based on their gender/interests
  • Especially useful if you do not ask what a users gender is during registration
• Automated filter recommendations on image messaging apps like Instagram
• Smart tagging in photo gallery apps
• Categorizing profiles from social networks by gender

Input Scheme

The input should contain a base64 encoded image or image url of a face. The image must be at least 64 x 64 pixels. In order to get the best results, make sure your input image is a tight face shot.

{
  "image_base64": "BASE_64_ENCODED_IMAGE"
}

or

{
  "image_url": "IMAGE_URL"
}

Output Scheme

The output will map each gender to a percentage. The percentages measure how confident the model is that the person is of that gender.

{
  "woman": 0.91,
  "man": 0.09
}

Training

The model was trained by the B-IT-BOTS robotics team on over 500,000 IMDB images.

Want To Learn More?

See the MAINTAINERS.md to learn more about the underlying model as well as how to contribute to the app.