Smile Detection with Deep Learning

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Beginner

Last updated on April 15, 2025 1:50 am

Learn how to detect smiles in images and videos using deep learning techniques. This course is designed for intermediate Python programmers with knowledge in deep learning and computer vision. Get lifetime access, HD video tutorials, and priority support. Train a CNN on the SMILES dataset and apply the smile detector to real-world scenarios. Enhance your projects with a fully functional smile detection application.

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What you’ll learn

  • detect faces in images with Haar Cascades
  • Train a CNN to detect smiling and not smiling
  • Apply the smile detector to real world images
  • Apply the smile detector to videos

In this course, we will be creating an end-to-end application that can detect smiles in images and videos.

For that, we will use deep learning and start by training a convolutional neural network on the SMILES dataset which contains faces of people smiling and not smiling. Once the network is trained, we will go through the following steps to detect smiles in images and videos:

  1. We will use Haar cascades to detect a face in an image.

  2. We will then extract the face region from the image.

  3. then we will pass the face region to the network for classification.

  4. And finally, we will annotate the image with the label “smiling” or “not smiling” depending on the output of the network.

This class was made for intermediate Python programmers that have some familiarity with deep learning and computer vision.

By the end of this course, you’ll have a fully functional smile detection application that you can use in your own projects.

What you’ll get:

When you buy the course you’ll receive:

  • 1 hour of HD video tutorials

  • Source code, example images, and videos used in the course

  • Lifetime access to the course

  • Priority support

What is covered in this course:

Just so that you have some idea of what you will learn in this course, these are the topics that we will cover:

  • Load the Data

  • Train the Smile Detector

  • Apply Our Smile Detector to Images

  • Apply Our Smile Detector to Videos

Who this course is for:

  • Intermediate Python programmers that have some familiarity with deep learning and computer vision.

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    Smile Detection with Deep Learning
    Smile Detection with Deep Learning
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