Dataset Versions
Versions
v1
2024-12-08 2:31pm
Generated on Dec 8, 2024
436 Total Images
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Dataset Split
Train Set 87%
381Images
Valid Set 8%
37Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-73% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±8° Horizontal, ±7° Vertical
Grayscale: Apply to 5% of images
Hue: Between -6° and +6°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -11% and +11%
Blur: Up to 0px
Noise: Up to 0.1% of pixels