surviellance Dataset

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Generated on Apr 10, 2024
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951 Total Images

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Dataset Split

Train Set 82%
780Images
Valid Set 9%
84Images
Test Set 9%
87Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 600x600
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 12% 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 1.56% of pixels

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