Dataset Versions

v8

2024-10-01 8:37pm

Generated on Oct 1, 2024

Dataset Split

Train Set 78%
348Images
Valid Set 11%
48Images
Test Set 12%
53Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -5% and +5%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels

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