Dataset Versions

v19

2024-03-02 7:57pm

Generated on Mar 2, 2024

Dataset Split

Train Set 94%
1512Images
Valid Set 6%
100Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -14° and +14°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.18% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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