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123

Object Detection

123 Image Dataset

v4

v3withNiResize

Generated on Aug 20, 2021

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Dataset Split

Train Set 87%
3723Images
Valid Set 8%
355Images
Test Set 4%
177Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 20% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±18° Horizontal, ±18° Vertical
Hue: Between -31° and +31°
Brightness: Between -21% and +21%
Exposure: Between -16% and +16%
Blur: Up to 1.25px
Cutout: 6 boxes with 9% size each
Bounding Box: Noise: Up to 7% of pixels