YOLO Gabriel

Board Classification

Classification

Board Classification Image Dataset

v3

2024-06-06 10:55am

Generated on Jun 6, 2024

Dataset Split

Train Set 87%
111Images
Valid Set 9%
12Images
Test Set 3%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.3px