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MNIST augmentation

Classification

MNIST augmentation Image Dataset

Versions
2024-01-10 7:27pm
v4
Jan 10, 2024
2024-01-10 7:14pm
v3
Jan 10, 2024
2024-01-10 7:07pm
v2
Jan 10, 2024
v4

2024-01-10 7:27pm

Generated on Jan 10, 2024
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67 Total Images

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Dataset Split

Train Set 81%
54Images
Valid Set 13%
9Images
Test Set 6%
4Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical