Thirdvision_facecover detection

Object Detection
v11

2025-03-18 2:22pm

Generated on Mar 18, 2025

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Dataset Split

Train Set 88%
7728Images
Valid Set 8%
685Images
Test Set 4%
392Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.21% of pixels

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