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CW

Object Detection

CW Image Dataset

v2

2022-07-24 8:35pm

Generated on Jul 25, 2022

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Dataset Split

Train Set 87%
1551Images
Valid Set 9%
151Images
Test Set 4%
72Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -38% and +38%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Blur: Up to 6.75px
Noise: Up to 9% of pixels
Cutout: 6 boxes with 14% size each
Bounding Box: Blur: Up to 2.5px