Dataset Versions

v2

2024-10-17 7:19am

Generated on Oct 17, 2024

Dataset Split

Train Set 88%
1035Images
Valid Set 8%
98Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Hue: Between -5° and +5°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels

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