Dataset Versions
v5
2024-07-16 2:23am
Generated on Jul 16, 2024
5330 Total Images
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Dataset Split
Train Set 93%
4935Images
Valid Set 7%
356Images
Test Set 1%
39Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 128x128
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 1px