Dataset Versions
Versions
v1
2024-11-12 7:08pm
Generated on Nov 12, 2024
7752 Total Images
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Dataset Split
Train Set 87%
6780Images
Valid Set 8%
649Images
Test Set 4%
323Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Noise: Up to 1.41% of pixels