Dataset Versions
v47
2024-01-05 1:10pm
Generated on Jan 5, 2024
2240 Total Images
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Dataset Split
Train Set 83%
1860Images
Valid Set 8%
190Images
Test Set 8%
190Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Mosaic: Applied