Dataset Versions

v2

2024-01-17 2:29pm

Generated on Jan 17, 2024

Dataset Split

Train Set 92%
1410Images
Valid Set 4%
59Images
Test Set 4%
59Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Noise: Up to 0.42% of pixels