Facial Recognition Using YOLOv7 Deep Learning Project
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
