Dataset Versions
Versions
v1
2022-09-15 3:34am
Generated on Sep 14, 2022
348 Total Images
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Dataset Split
Train Set 95%
330Images
Valid Set 4%
15Images
Test Set 1%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Blur: Up to 0.5px