Computer Vision › Image Augmentation Techniques

What are best practices for Image Augmentation Techniques

Advanced

Answer

When working with Image Augmentation Techniques, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example A team training a plant disease detector uses image augmentation to rotate and flip leaf photos, helping the model recognize diseased leaves from any angle.

Common follow-ups: What is Computer Vision, How is Image Augmentation Techniques evaluated in practice, What tools are commonly used for Image Augmentation Techniques