Dataset Versions
Versions
v1
2024-10-10 8:21am
Generated on Oct 10, 2024
943 Total Images
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Dataset Split
Train Set 87%
825Images
Valid Set 8%
79Images
Test Set 4%
39Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1600x1600
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -12° and +12°
Shear: ±14° Horizontal, ±8° Vertical
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 4.9px
Noise: Up to 1.8% of pixels