Introduction to Data Augmentation With Rotation
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Data Augmentation With Rotation Comprehensive Overview
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Authors: Miyai, Atsuyuki*; Yu, Qing; Ikami, Daiki; Irie, Go; Aizawa, Kiyoharu Description:
Summary & Highlights for Data Augmentation With Rotation
- When we don't have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address ...
- In this video, we explain the concept of
- Data augmentation: 9 rotations along the y axis
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- We review the new state of the art mosaic
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