Dataset Versions
v3
2024-10-07 4:16am
Generated on Oct 7, 2024
809 Total Images
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Dataset Split
Train Set 88%
708Images
Valid Set 8%
67Images
Test Set 4%
34Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 9-72% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.1% of pixels