Dataset Versions

v3

2024-07-26 11:41am

Generated on Jul 26, 2024

Dataset Split

Train Set 89%
2031Images
Valid Set 8%
180Images
Test Set 3%
64Images

Preprocessing

Auto-Orient: Applied
Static Crop: 5-95% Horizontal Region, 5-95% Vertical Region
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±11° Horizontal, ±11° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -13% and +13%
Blur: Up to 2.1px
Noise: Up to 1.8% of pixels
Mosaic: Applied
Bounding Box: Shear: ±2° Horizontal, ±2° Vertical
Bounding Box: Brightness: Between -6% and +6%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 1.6px
Bounding Box: Noise: Up to 0.7% of pixels

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