Dataset Versions

v17

2024-10-12 3:25am

Generated on Oct 12, 2024

Dataset Split

Train Set 98%
177Images
Valid Set 1%
2Images
Test Set 1%
1Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 5% of images
Hue: Between -21° and +21°
Saturation: Between -23% and +23%
Brightness: Between -15% and +15%
Exposure: Between -1% and +1%
Blur: Up to 0.5px
Noise: Up to 0.14% of pixels

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