Dataset Versions

v2

2023-12-07 11:47pm

Generated on Dec 7, 2023

Dataset Split

Train Set 88%
546Images
Valid Set 8%
52Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -11° and +11°
Saturation: Between -65% and +65%
Brightness: Between -32% and +32%
Noise: Up to 8% of pixels

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