Dataset Versions
Versions
v2
Finalv1
Generated on Jan 4, 2025
7916 Total Images
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Dataset Split
Train Set 90%
7125Images
Valid Set 7%
563Images
Test Set 3%
228Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±15° Vertical
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.25% of pixels