Dataset Versions
Versions
v1
2024-11-25 2:29pm
Generated on Nov 25, 2024
55 Total Images
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Dataset Split
Train Set 87%
48Images
Valid Set 9%
5Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%