Dataset Versions
Versions
v3
2024-07-04 9:28am
Generated on Jul 4, 2024
17500 Total Images
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Dataset Split
Train Set 87%
15312Images
Valid Set 8%
1459Images
Test Set 4%
729Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.6% of pixels
Cutout: 3 boxes with 6% size each