Dataset Versions
Versions
v1
2023-05-18 1:31pm
Generated on May 18, 2023
218 Total Images
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Dataset Split
Train Set 94%
204Images
Valid Set 4%
9Images
Test Set 2%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±16° Horizontal, ±19° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -18% and +18%
Noise: Up to 2% of pixels