Dataset Versions
v1
2024-11-28 6:40pm
Generated on Nov 28, 2024
1777 Total Images
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Dataset Split
Train Set 89%
1587Images
Valid Set 6%
106Images
Test Set 5%
84Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
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
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels