ANU

cricle

Classification

cricle Image Dataset

v1

2023-07-04 10:37am

Generated on Jul 4, 2023

Dataset Split

Train Set 87%
333Images
Valid Set 8%
31Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Brightness: Between -61% and +61%
Blur: Up to 1.75px
Noise: Up to 11% of pixels

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