Dataset Versions

v4

2024-02-05 6:55pm

Generated on Feb 5, 2024

Dataset Split

Train Set 87%
1998Images
Valid Set 6%
143Images
Test Set 6%
143Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Modify Classes: 8 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 100% of images
Brightness: Between 0% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.45% of pixels

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