Dataset Versions
v2
2024-11-07 11:59pm
Generated on Nov 7, 2024
1103 Total Images
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Dataset Split
Train Set 88%
966Images
Valid Set 8%
91Images
Test Set 4%
46Images
Preprocessing
Auto-Orient: Applied
Static Crop: 24-84% Horizontal Region, 0-83% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Noise: Up to 1.88% of pixels