Dataset Versions
Versions
v1
2024-01-08 5:27pm
Generated on Jan 8, 2024
93 Total Images
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Dataset Split
Train Set 90%
84Images
Valid Set 6%
6Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-62% Horizontal Region, 36-69% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%