Dataset Versions
Versions
v1
2023-03-11 3:27pm
Generated on Mar 11, 2023
187 Total Images
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Dataset Split
Train Set 91%
171Images
Valid Set 6%
12Images
Test Set 2%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 39% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -27% and +27%
Brightness: Between -32% and +32%
Exposure: Between -18% and +18%
Blur: Up to 0.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each