Dataset Versions
Versions
v1
2024-07-12 8:27pm
Generated on Jul 12, 2024
1619 Total Images
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Dataset Split
Train Set 92%
1491Images
Valid Set 4%
58Images
Test Set 4%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 600x600
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.5% of pixels