KAL2

KAL2

Object Detection

KAL2 Image Dataset

v1

2022-07-14 6:05pm

Generated on Jul 14, 2022

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Dataset Split

Train Set 92%
648Images
Valid Set 6%
42Images
Test Set 2%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -12° and +12°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 10% of pixels

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