Dataset Versions

v29

2024-08-17 11:34am

Generated on Aug 17, 2024

Dataset Split

Train Set 87%
411Images
Valid Set 9%
45Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
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%
Exposure: Between -10% and +10%