Dataset Versions

v6

2024-02-14 12:53pm

Generated on Feb 14, 2024

Dataset Split

Train Set 85%
1032Images
Valid Set 10%
121Images
Test Set 5%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.57% of pixels

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