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Marmite2

Object Detection

Marmite2 Image Dataset

v4

2023-02-20 7:26pm

Generated on Feb 20, 2023

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Dataset Split

Train Set 92%
6612Images
Valid Set 5%
363Images
Test Set 3%
216Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -22° and +22°
Shear: ±24° Horizontal, ±24° Vertical
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -20% and +20%
Blur: Up to 0.75px
Noise: Up to 10% of pixels

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