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Versions
2024-11-03 9:31am
v16
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12 days ago
2024-09-07 5:53pm
v15
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2 months ago
2024-09-05 4:26pm
v14
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2 months ago
2024-08-31 12:19pm
v12
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2 months ago
2024-08-31 7:56am
v11
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3 months ago
2024-08-24 6:23am
v10
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3 months ago
2024-08-20 4:54pm
v9
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3 months ago
2024-08-19 4:30pm
v8
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3 months ago
2024-08-18 1:48pm
v7
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3 months ago
2024-08-18 8:55am
v6
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3 months ago
2024-08-18 8:08am
v5
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3 months ago
2024-08-12 3:47pm
v4
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3 months ago
2024-08-12 3:48am
v3
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3 months ago
2024-08-11 12:35pm
v2
·
3 months ago
2024-08-11 6:37am
v1
·
3 months ago
v8

2024-08-19 4:30pm

Generated on Aug 19, 2024
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713 Total Images

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Dataset Split

Train Set 88%
624Images
Valid Set 9%
61Images
Test Set 4%
28Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.56% of pixels

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