Dataset Versions
v3
2024-02-13 10:01am
Generated on Feb 13, 2024
294 Total Images
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Dataset Split
Train Set 88%
258Images
Valid Set 8%
24Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% 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 -15° and +15°
Shear: ±7° Horizontal, ±8° Vertical
Grayscale: Apply to 9% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.61% of pixels