Dataset Versions
Versions
v4
2024-03-15 1:48pm
Generated on Mar 15, 2024
434 Total Images
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Dataset Split
Train Set 86%
372Images
Valid Set 11%
46Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Cutout: 15 boxes with 17% size each