Dataset Versions

v1

2023-07-17 3:28pm

Generated on Jul 17, 2023

Dataset Split

Train Set 88%
543Images
Valid Set 8%
51Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

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: ±15° Horizontal, ±15° Vertical
Saturation: Between -15% and +15%
Brightness: Between -25% and +25%
Noise: Up to 4% of pixels
Cutout: 3 boxes with 10% size each