amine dernier version Dataset

v16

2024-06-13 10:46am

Generated on Jun 13, 2024

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Dataset Split

Train Set 91%
378Images
Valid Set 6%
23Images
Test Set 3%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 850x750
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±15° Vertical
Grayscale: Apply to 17% of images
Hue: Between -111° and +111°
Saturation: Between -64% and +64%
Brightness: Between -34% and +34%
Exposure: Between -23% and +23%
Blur: Up to 2.8px
Noise: Up to 1.85% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Noise: Up to 0.81% of pixels

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