Dataset Versions

v3

reflect image

Generated on Sep 9, 2023

Dataset Split

Train Set 89%
5745Images
Valid Set 10%
665Images
Test Set 1%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±24° Horizontal, ±24° Vertical
Hue: Between -14° and +14°
Saturation: Between -34% and +34%
Exposure: Between -10% and +10%
Blur: Up to 0.75px
Noise: Up to 2% of pixels
Cutout: 5 boxes with 10% size each

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