Dataset Versions

v12

2023-12-01 7:09pm

Generated on Dec 1, 2023

Dataset Split

Train Set 100%
306Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 5% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Hue: Between -40° and +40°
Saturation: Between -50% and +50%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 3% of pixels