Computer Vision: Image Augmentation

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Eng Teong Cheah

Image augmentation generates random images based on existing training data to cope with overfitting. In order to obtain a definitive results during prediction, we usually only apply image augmentation to the training example, and do not use image augmentation with random operations during prediction.

Computer Vision: Image Augumentation
Eng Teong Cheah

Contents
Image Augmentation

Image Augmentation

Common Image Augmentation Method

Common Image Augmentation Method

Flip and Crop

Flip and Crop

Flip and Crop

Change Color

Change Color

Change Color

Overlying Multiple Image Augmentation Methods

Using an Image Augmentation Training Model

Using an Image Augmentation Training Model

Using an Image Augmentation Training Model

Using a Multi-GPU Training Model

Using a Multi-GPU Training Model

Using a Multi-GPU Training Model

Using a Multi-GPU Training Model

Thank You！
Does anyone have any questions?
Twitter: @walkercet
Blog: https://ceteongvanness.wordpress.com

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Computer Vision: Image Augmentation

1. Computer Vision: Image Augumentation Eng Teong Cheah

2. Contents Image Augmentation

3. Image Augmentation

4. Common Image Augmentation Method

5. Common Image Augmentation Method

6. Flip and Crop

7. Flip and Crop

8. Flip and Crop

9. Change Color

10. Change Color

11. Change Color

12. Overlying Multiple Image Augmentation Methods

13. Using an Image Augmentation Training Model

14. Using an Image Augmentation Training Model

15. Using an Image Augmentation Training Model

16. Using a Multi-GPU Training Model

17. Using a Multi-GPU Training Model

18. Using a Multi-GPU Training Model

19. Using a Multi-GPU Training Model

20. Thank You！ Does anyone have any questions? Twitter: @walkercet Blog: https://ceteongvanness.wordpress.com

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