Dataset Versions
Versions
v1
2024-10-31 5:07am
Generated on Oct 31, 2024
10137 Total Images
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Dataset Split
Train Set 92%
9336Images
Valid Set 5%
534Images
Test Set 3%
267Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 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 -10% and +10%
Brightness: Between -10% and +10%
Noise: Up to 0.5% of pixels