Dataset Versions

v13

2024-10-11 7:00am

Generated on Oct 11, 2024

Dataset Split

Train Set 99%
250Images
Valid Set 1%
2Images
Test Set 0%
1Images

Preprocessing

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

Augmentations

Outputs per training example: 5
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -11° and +11°
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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