What you'll learn
- Learn how to efficiently use Roboflow for managing and preprocessing object detection datasets, ensuring they are optimized for YOLOv7 training.
- Dive into the process of annotating and augmenting datasets for object detection, crucial steps in enhancing model performance.
- Familiarize yourself with Google Colab and its integration with deep learning frameworks, providing a cloud-based environment for running Python code.
- Understand the process of exporting trained YOLOv7 models and deploying them for real-world object detection applications.