Dataset Versions
v2
2024-12-18 11:06am
Generated on Dec 18, 2024
223 Total Images
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Dataset Split
Train Set 87%
195Images
Valid Set 9%
19Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 0.5px
Noise: Up to 1% of pixels