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2024-06-13 4:11am
v18
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5 months ago
2024-06-04 5:33pm
v17
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6 months ago
2024-06-04 5:31pm
v16
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6 months ago
2024-06-03 10:44am
v15
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6 months ago
2024-06-03 10:38am
v14
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6 months ago
2024-06-03 10:34am
v13
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6 months ago
2024-05-15 11:16am
v12
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6 months ago
2024-05-14 8:12pm
v11
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6 months ago
2024-04-30 2:18pm
v10
·
7 months ago
2024-04-19 5:07am
v9
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7 months ago
2024-04-19 4:17am
v8
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7 months ago
2024-04-17 1:42am
v7
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7 months ago
2024-03-12 6:21pm
v2
·
8 months ago
2024-03-12 5:17pm
v1
·
8 months ago
v16

2024-06-04 5:31pm

Generated on Jun 4, 2024
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2296 Total Images

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Dataset Split

Train Set 90%
2067Images
Valid Set 7%
172Images
Test Set 2%
57Images

Preprocessing

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

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -23° and +23°
Exposure: Between -14% and +14%
Noise: Up to 0.14% of pixels

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