Dataset Versions
v1
2022-07-23 2:57pm
Generated on Jul 23, 2022
138 Total Images
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Dataset Split
Train Set 96%
132Images
Valid Set 2%
3Images
Test Set 2%
3Images
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: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -16° and +16°
Saturation: Between -25% and +25%
Brightness: Between -27% and +27%
Exposure: Between -6% and +6%
Blur: Up to 1.75px
Noise: Up to 15% of pixels
Cutout: 25 boxes with 9% size each