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4.23
57 reviews

Emotion Detection Machine Learning Project with YOLOv7

Learn to build an AI-powered emotion detection system using YOLOv7, Deep Learning, and Python for real-time Project
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Emotion Detection Using YOLOv7: Complete Project Course using Roboflow and Google Colab

Course Description:

Are you interested in AI-based emotion detection? Want to build a real-time facial expression recognition system using YOLOv7 and Deep Learning? This project-based course will teach you how to train and deploy an emotion detection model step by step.

By the end of this course, you will have a complete Machine Learning project ready to detect emotions like happiness, sadness, anger, surprise, and more from real-time images and videos.

What You Will Learn:

  1. Introduction to Emotion Detection and YOLOv7:

    • Gain insights into the significance of emotion detection in computer vision and understand the fundamentals of the YOLOv7 algorithm.

  2. Setting Up the Project Environment:

    • Learn how to set up the project environment, including the installation of necessary tools and libraries for implementing YOLOv7 for emotion detection.

  3. Data Collection and Preprocessing:

    • Explore the process of collecting and preprocessing datasets of facial expressions, ensuring the data is optimized for training a YOLOv7 model.

  4. Annotation of Facial Expressions:

    • Dive into the annotation process, marking facial expressions on images to train the YOLOv7 model for accurate and robust emotion detection.

  5. Integration with Roboflow:

    • Understand how to integrate Roboflow into the project workflow, leveraging its capabilities for efficient dataset management, augmentation, and optimization.

  6. Training YOLOv7 Model:

    • Explore the end-to-end training workflow of YOLOv7 using the annotated and preprocessed dataset, adjusting parameters and monitoring model performance.

  7. Model Evaluation and Fine-Tuning:

    • Learn techniques for evaluating the trained model, fine-tuning parameters for optimal emotion detection, and ensuring robust performance.

  8. Deployment of the Model:

    • Understand how to deploy the trained YOLOv7 model for real-world emotion detection tasks, making it ready for integration into applications or systems.

Enroll now & master Emotion Detection with YOLOv7!

How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Video 1 hours
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