Dataset Versions

v1

first_version_augmentations

Generated on Jun 10, 2024

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Dataset Split

Train Set 85%
99Images
Valid Set 10%
12Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 0.14% of pixels

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