Dataset Versions
v1
2024-06-24 8:47pm
Generated on Jun 24, 2024
6846 Total Images
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Dataset Split
Train Set 92%
6318Images
Valid Set 4%
262Images
Test Set 4%
266Images
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 -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -34% and +34%
Cutout: 3 boxes with 10% size each