coub

count_bottle_cap

Instance Segmentation

count_bottle_cap Image Dataset

v3

2024-05-17 4:53pm

Generated on May 17, 2024

Dataset Split

Train Set 87%
90Images
Valid Set 9%
9Images
Test Set 4%
4Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±31° Vertical
Saturation: Between -43% and +43%
Brightness: Between -33% and +33%
Noise: Up to 2.52% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
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