surviellance Dataset

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2024-05-27 6:24pm

Generated on May 27, 2024
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2067 Total Images

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Dataset Split

Train Set 92%
1908Images
Valid Set 4%
80Images
Test Set 4%
79Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 600x600
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels

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