Dataset Versions

v12

2024-02-19 1:18pm

Generated on Feb 19, 2024

Dataset Split

Train Set 90%
1032Images
Valid Set 10%
110Images
Test Set %
0Images

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, 25% 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%
Blur: Up to 1px
Noise: Up to 1.01% of pixels
Bounding Box: Noise: Up to 1.21% of pixels

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