Dataset Versions

v2

2024-06-08 6:07pm

Generated on Jun 8, 2024

Dataset Split

Train Set 87%
423Images
Valid Set 9%
42Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 380x380

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.46% of pixels

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