Dataset Versions
v2
augmented3x
Generated on Aug 19, 2022
10806 Total Images
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Dataset Split
Train Set 88%
9456Images
Valid Set 8%
900Images
Test Set 4%
450Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Cutout: 6 boxes with 3% size each