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2023-10-23 5:22pm
v12
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a year ago
2023-10-23 4:51pm
v11
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a year ago
2023-10-23 4:23pm
v10
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2023-10-23 1:04am
v9
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2023-10-22 7:28am
v8
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a year ago
2023-10-22 3:15am
v7
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a year ago
2023-10-22 12:22am
v6
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a year ago
2023-10-21 10:02pm
v5
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a year ago
2023-10-21 8:47pm
v4
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a year ago
2023-10-21 8:41pm
v3
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2023-10-21 8:35pm
v2
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2023-10-21 5:32pm
v1
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v7

2023-10-22 3:15am

Generated on Oct 22, 2023
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7747 Total Images

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Dataset Split

Train Set 82%
6339Images
Valid Set 9%
704Images
Test Set 9%
704Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Grayscale: Applied
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied

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