Dataset Versions
v2
2024-01-01 4:13pm
Generated on Jan 1, 2024
620 Total Images
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Dataset Split
Train Set 88%
543Images
Valid Set 8%
51Images
Test Set 4%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -15% and +15%
Brightness: Between -25% and +25%