Dataset Versions

v6

Add Augmented_Testing

Generated on Nov 12, 2024

Dataset Split

Train Set 90%
540Images
Valid Set 5%
32Images
Test Set 5%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Mosaic: Applied
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5.01% of pixels

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