Dataset Versions
v4
2023-12-27 7:29pm
Generated on Dec 27, 2023
240 Total Images
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Dataset Split
Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Noise: Up to 6% of pixels
Cutout: 25 boxes with 6% size each
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 25% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±16° Horizontal, ±17° Vertical