Dataset Versions
v3
2024-07-14 9:14am
Generated on Jul 14, 2024
4565 Total Images
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Dataset Split
Train Set 91%
4155Images
Valid Set 6%
274Images
Test Set 3%
136Images
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