Dataset Versions

v2

2024-06-17 2:08pm

Generated on Jun 17, 2024

Dataset Split

Train Set 92%
12Images
Valid Set 8%
1Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 2.7px
Noise: Up to 1.84% of pixels

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