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2023-10-23 3:14pm
v45
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a year ago
2023-10-23 8:51am
v44
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a year ago
2023-10-22 6:22pm
v42
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a year ago
2023-10-22 2:44pm
v39
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2023-10-22 2:36pm
v38
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a year ago
2023-10-22 5:48am
v37
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a year ago
2023-10-22 12:15am
v36
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a year ago
2023-10-21 4:26pm
v35
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a year ago
2023-10-21 2:29am
v31
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a year ago
2023-10-20 9:45pm
v30
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2023-10-17 2:37pm
v25
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a year ago
2023-10-16 7:26pm
v24
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a year ago
2023-10-15 7:07pm
v23
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a year ago
2023-10-08 1:25pm
v22
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a year ago
2023-10-07 2:00am
v15
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a year ago
2023-09-20 9:17am
v13
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a year ago
2023-08-21 5:16pm
v7
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a year ago
2023-07-31 12:43pm
v1
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a year ago
v42

2023-10-22 6:22pm

Generated on Oct 23, 2023
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1342 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 90%
1209Images
Valid Set 6%
80Images
Test Set 4%
53Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Brightness: Between 0% and +25%
Noise: Up to 1% of pixels
Mosaic: Applied

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