Dataset Versions
Versions
v1
2022-11-06 11:15pm
Generated on Nov 6, 2022
12990 Total Images
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Dataset Split
Train Set 87%
11352Images
Valid Set 8%
1100Images
Test Set 4%
538Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -40% and +40%
Exposure: Between -20% and +20%
Cutout: 4 boxes with 15% size each