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batch-2.2-aug
v1
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a year ago
v1

batch-2.2-aug

Generated on Oct 24, 2023
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846 Total Images

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Dataset Split

Train Set 87%
738Images
Valid Set 8%
70Images
Test Set 4%
38Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -12° and +12°
Saturation: Between -25% and +25%

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