Dataset Versions

Versions
augmentation_test
v2
·
3 years ago
train
v1
·
3 years ago
v2

augmentation_test

Generated on May 24, 2022
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1800 Total Images

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Dataset Split

Train Set 100%
1800Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Noise: Up to 0% of pixels

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