Dataset Versions
Versions
v1
2022-11-16 2:58am
Generated on Nov 15, 2022
11290 Total Images
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Dataset Split
Train Set 88%
9894Images
Valid Set 8%
926Images
Test Set 4%
470Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Cutout: 4 boxes with 15% size each