train_joel2 Dataset

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2022-05-21 5:55pm
v1
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2 years ago
v1

2022-05-21 5:55pm

Generated on May 21, 2022
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960 Total Images

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Dataset Split

Train Set 100%
960Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -35° and +35°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%

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