What You'll Learn
- Understand how to seamlessly integrate Roboflow into the project workflow, leveraging its features for efficient dataset management, augmentation, and optimizat
- Explore the process of collecting and preprocessing datasets of faces, ensuring the data is optimized for training a YOLOv7 model.
- Explore the end-to-end training workflow of YOLOv7 using the annotated and preprocessed dataset, adjusting parameters and monitoring model performance.
- Understand how to deploy the trained YOLOv7 model for real-world facial recognition tasks, making it ready for integration into applications or security systems
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 security.
- Eagerness to learn and apply facial recognition using YOLOv7.
Your Instructor
ARUNNACHALAM SHANMUGARAAJAN
Guiding 100k+ Students to Excellence in Life
4.1 Instructor Rating
2,384 Reviews
116,413 Students
51 Courses
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