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The document discusses designing image augmentation pipelines for enhancing model generalization, emphasizing that each transformation represents an assumption about data invariance. It outlines a systematic approach to selecting and applying augmentations, highlighting the importance of understanding which variations should not affect labels. The guide provides a practical framework and a seven-step process for building effective augmentation pipelines tailored to specific tasks.
- Author
- saaraab97
- Language
- EN