CopyCat Masterclass | 4. Data Augmentation: Maximize CopyCat’s Learning
Learn how to maximize the value of your training data by making small but impactful modifications to existing input images. Use techniques such as flipping, transforming, color correction, and more to simulate various scenarios. Save time and enhance your model's performance by reusing and augmenting your data, even in challenging situations like overlapping objects. Uncover the secrets of creating 'fake' input frames that help train your model effectively and ensure accurate results.
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00:00 Introduction
00:26 What is Data Augmentation?
00:46 Masking a moving object from the background
00:58 What to do when the model isn't working
01:52 Summary
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