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2024-09-17 7:41am
v18
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2 months ago
2024-09-03 1:35pm
v13
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2 months ago
2024-08-30 3:06am
v12
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2 months ago
2024-08-22 8:58am
v11
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3 months ago
2024-08-17 3:23am
v10
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3 months ago
2024-08-14 1:32pm
v9
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3 months ago
2024-08-14 11:37am
v8
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3 months ago
2024-08-14 6:17am
v7
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3 months ago
2024-08-13 2:23pm
v6
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3 months ago
2024-08-09 4:15am
v5
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3 months ago
2024-07-07 8:08am
v4
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4 months ago
2024-07-01 1:13pm
v3
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4 months ago
2024-06-23 6:53pm
v2
·
5 months ago
2024-06-06 6:12pm
v1
·
5 months ago
v5

2024-08-09 4:15am

Generated on Aug 9, 2024
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Dataset Split

Train Set 88%
942Images
Valid Set 8%
89Images
Test Set 4%
45Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0px
Noise: Up to 0.1% of pixels

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