Dataset Versions

Versions
2023-04-28 4:54pm
v3
·
2 years ago
2023-04-28 2:45pm
v2
·
2 years ago
2023-04-28 2:41pm
v1
·
2 years ago
v2

2023-04-28 2:45pm

Generated on Apr 28, 2023
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Dataset Split

Train Set 88%
773Images
Valid Set 8%
73Images
Test Set 4%
37Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°

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