Dataset Versions
v4
2021-11-27 8:20pm
Generated on Nov 27, 2021
12727 Total Images
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Dataset Split
Train Set 100%
12696Images
Valid Set 0%
21Images
Test Set 0%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 44% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -75° and +75°
Saturation: Between -55% and +55%
Brightness: Between -39% and +39%
Exposure: Between -26% and +26%
Blur: Up to 10.75px
Noise: Up to 8% of pixels