Dataset Versions
v1
2024-11-13 11:10am
Generated on Nov 13, 2024
1942 Total Images
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Dataset Split
Train Set 88%
1701Images
Valid Set 8%
160Images
Test Set 4%
81Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 1.9px
Noise: Up to 0.42% of pixels