Dataset Versions

v12

2024-03-28 1:09pm

Generated on Mar 28, 2024

Dataset Split

Train Set 95%
543Images
Valid Set 5%
30Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 12% of images
Hue: Between -19° and +19°
Saturation: Between -33% and +33%
Brightness: Between -17% and +17%
Exposure: Between -10% and +10%
Blur: Up to 0.9px

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