Dataset Versions
v3
2024-11-01 8:35pm
Generated on Nov 1, 2024
145 Total Images
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Dataset Split
Train Set 92%
133Images
Valid Set 3%
4Images
Test Set 6%
8Images
Preprocessing
Auto-Orient: Applied
Static Crop: 13-91% Horizontal Region, 15-90% Vertical Region
Resize: Stretch to 240x240
Grayscale: Applied
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels