Dataset Versions

v6

2024-11-19 10:29am

Generated on Nov 19, 2024

Dataset Split

Train Set 90%
12831Images
Valid Set 8%
1125Images
Test Set 2%
348Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.9px
Noise: Up to 1% of pixels

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