Dataset Versions
v2
2024-09-13 10:11pm
Generated on Sep 13, 2024
481 Total Images
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Dataset Split
Train Set 84%
402Images
Valid Set 10%
50Images
Test Set 6%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 4% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -11% and +11%
Blur: Up to 0.25px
Noise: Up to 1% of pixels