Description
Data is king in computer vision, where AI learns to “see” and interpret images. But, acquiring massive, diverse datasets can be costly and time-consuming. What if you could artificially expand your visual universe without collecting more images? Enter data augmentation, a technique that creates variations of existing images, boosting your dataset size and model robustness. Imagine a kaleidoscope, creating countless patterns from a few pieces of colored glass.
Here is the fascinating world of data augmentation in computer vision. Plus, the techniques to transform and enhance your image data, improving model performance and generalization without endless photo shoots.
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