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2023-07-31 10:19pm
v8
·
a year ago
2023-07-31 3:39pm
v7
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a year ago
2023-07-30 10:24pm
v6
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a year ago
2023-07-28 3:48pm
v5
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a year ago
2023-07-28 10:34am
v4
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a year ago
2023-07-28 1:26am
v3
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a year ago
2023-07-28 12:13am
v2
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a year ago
2023-07-27 11:29pm
v1
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a year ago
v8

2023-07-31 10:19pm

Generated on Jul 31, 2023
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1508 Total Images

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Dataset Split

Train Set 88%
1320Images
Valid Set 8%
126Images
Test Set 4%
62Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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