Dataset Versions

v9

2023-08-12 10:54pm

Generated on Aug 12, 2023

Dataset Split

Train Set 88%
138Images
Valid Set %
0Images
Test Set 12%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Counter-Clockwise
Crop: 11% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±23° Horizontal, ±8° Vertical
Hue: Between -25° and +25°
Saturation: Between -55% and +55%
Brightness: Between 0% and +34%
Exposure: Between -9% and +9%
Noise: Up to 8% of pixels