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2023-05-23 2:58pm
v4
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2 years ago
2023-05-23 1:36pm
v3
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2 years ago
2023-05-23 11:35am
v2
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2 years ago
2023-05-22 3:17pm
v1
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2 years ago
v2

2023-05-23 11:35am

Generated on May 23, 2023
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Dataset Split

Train Set 86%
288Images
Valid Set 5%
16Images
Test Set 10%
32Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%

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