Dataset Versions

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2023-02-23 11:52pm
v7
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2 years ago
2023-02-23 9:50pm
v6
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2 years ago
2023-02-13 10:10pm
v5
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2 years ago
2023-02-12 11:23pm
v4
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2 years ago
2023-02-12 11:06pm
v3
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2 years ago
2023-02-12 11:00pm
v2
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2 years ago
2023-02-12 10:37pm
v1
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2 years ago
v1

2023-02-12 10:37pm

Generated on Feb 12, 2023
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190 Total Images

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Dataset Split

Train Set 95%
180Images
Valid Set %
0Images
Test Set 5%
10Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -9° and +9°
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%

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