Dataset Versions

v15

rm-lab-hist-eq

Generated on Sep 11, 2024

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Dataset Split

Train Set 85%
273Images
Valid Set 9%
30Images
Test Set 5%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±10° Vertical
Cutout: 5 boxes with 15% size each

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