d Dataset
v2
2024-07-12 7:44am
Generated on Jul 12, 2024
3737 Total Images
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Dataset Split
Train Set 92%
3429Images
Valid Set 5%
205Images
Test Set 3%
103Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.96% of pixels