Dataset Versions
v2
2024-07-28 1:08pm
Generated on Jul 28, 2024
1185 Total Images
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Dataset Split
Train Set 88%
1038Images
Valid Set 8%
98Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 1.56% of pixels