What You'll Learn
- Understand how to integrate Roboflow into the project workflow, leveraging its features for efficient dataset management, augmentation, and optimization for bot
- Explore the process of collecting and preprocessing datasets for both facial recognition and emotion detection, ensuring the data is optimized for training a YO
- Dive into the annotation process, marking facial features on images for recognition and labeling emotions for detection. Train YOLOv7 models for accurate and ro
- Explore the end-to-end training workflow of YOLOv7 using the annotated and preprocessed datasets, adjusting parameters, and monitoring model performance for bot
Requirements
- Access to a computer with internet connectivity.
- Basic understanding of machine learning and computer vision concepts.
Who This Course is For
- Students and professionals in computer vision, artificial intelligence, or human-computer interaction.
- Developers interested in mastering YOLOv7 for multiple computer vision applications.
Your Instructor
ARUNNACHALAM SHANMUGARAAJAN
Guiding 100k+ Students to Excellence in Life
4.2 Instructor Rating
2,206 Reviews
108,625 Students
47 Courses
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