Dataset Versions

v5

2024-06-13 8:26am

Generated on Jun 13, 2024

Dataset Split

Train Set 89%
1053Images
Valid Set 7%
87Images
Test Set 4%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

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
Saturation: Between -9% and +9%
Brightness: Between -12% and +12%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels