Dataset Versions

v1

2024-07-08 3:35am

Generated on Jul 8, 2024

Dataset Split

Train Set 87%
2532Images
Valid Set 8%
241Images
Test Set 4%
121Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 1.1px
Noise: Up to 0.1% of pixels

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