Dataset Versions
Versions
v1
VERSION 1
Generated on Mar 25, 2024
19990 Total Images
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Dataset Split
Train Set 95%
19089Images
Valid Set 3%
594Images
Test Set 2%
307Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%