Dataset Versions
v2
2024-11-21 11:53am
Generated on Nov 21, 2024
730 Total Images
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Dataset Split
Train Set 94%
685Images
Valid Set 4%
27Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -6% and +6%
Exposure: Between -8% and +8%
Noise: Up to 0.18% of pixels