Data Augmentation in Vision
Creating training image variations through rotation, flipping, cropping, color jittering to improve model robustness.
Related Concepts
- Data Augmentation: Explore how Data Augmentation relates to Data Augmentation in Vision
- Computer Vision: Explore how Computer Vision relates to Data Augmentation in Vision
- Training: Explore how Training relates to Data Augmentation in Vision
Why It Matters
Understanding Data Augmentation in Vision is crucial for anyone working with computer vision. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Computer Vision
The field of AI focused on enabling computers to understand and interpret visual information from images and videos.
Data Augmentation
Creating variations of training data through transformations (rotation, cropping, noise) to improve model generalization.
Training
The process of teaching a machine learning model by adjusting its parameters based on data to minimize prediction errors.