Dataset Versions
Versions
v4
2024-03-20 9:52pm
Generated on Mar 21, 2024
131 Total Images
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Dataset Split
Train Set 78%
102Images
Valid Set 13%
17Images
Test Set 9%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 23% of images
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 3.8px
Noise: Up to 1.84% of pixels