Dataset Versions

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2023-12-22 1:31pm
v7
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a year ago
2023-12-18 1:40pm
v6
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a year ago
2023-12-18 12:48pm
v5
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a year ago
2023-10-31 10:45pm
v4
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a year ago
2023-10-30 2:05am
v3
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a year ago
2023-10-29 11:46pm
v2
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a year ago
2023-10-09 10:45pm
v1
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a year ago
v4

2023-10-31 10:45pm

Generated on Oct 31, 2023
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Dataset Split

Train Set 88%
252Images
Valid Set 8%
24Images
Test Set 4%
12Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels

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