Dataset Versions
v4
2022-07-25 10:50am
Generated on Jul 25, 2022
217 Total Images
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Dataset Split
Train Set 95%
207Images
Valid Set 2%
4Images
Test Set 3%
6Images
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, 52% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 0% of images
Hue: Between -1° and +1°
Saturation: Between -2% and +2%
Brightness: Between -3% and +3%
Blur: Up to 1.75px
Noise: Up to 2% of pixels