Dataset Versions

Versions
2023-01-20 5:04pm
v5
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2 years ago
2023-01-20 4:50pm
v4
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2 years ago
2023-01-20 4:43pm
v3
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2 years ago
2023-01-20 4:42pm
v2
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2 years ago
2023-01-20 3:12pm
v1
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2 years ago
v2

2023-01-20 4:42pm

Generated on Jan 21, 2023
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Dataset Split

Train Set 86%
111Images
Valid Set %
0Images
Test Set 14%
18Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 3% of pixels

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