Dataset Versions

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2023-05-31 10:15am
v8
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2 years ago
2023-05-24 5:46pm
v4
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2 years ago
2023-05-24 11:02am
v3
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2 years ago
2023-05-23 5:39pm
v2
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2 years ago
2023-05-23 4:18pm
v1
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2 years ago
v1

2023-05-23 4:18pm

Generated on May 23, 2023
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Dataset Split

Train Set 87%
153Images
Valid Set 8%
14Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Hue: Between -180° and +180°
Cutout: 4 boxes with 5% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -24% and +24%

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