Dataset Versions
v3
resize512_aug3x
Generated on Dec 6, 2022
2877 Total Images
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Dataset Split
Train Set 87%
2517Images
Valid Set 8%
240Images
Test Set 4%
120Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.75px
Cutout: 5 boxes with 3% size each