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2024-10-06 1:31pm
v9
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2 months ago
2024-09-22 3:02pm
v8
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2 months ago
2024-09-22 12:32pm
v7
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2 months ago
2024-09-22 11:26am
v6
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2 months ago
2024-09-22 11:26am
v5
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2 months ago
2024-09-22 11:26am
v4
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2 months ago
2024-09-22 11:23am
v3
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2 months ago
2024-09-22 11:20am
v2
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2 months ago
v8

2024-09-22 3:02pm

Generated on Sep 22, 2024
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24 Total Images

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Dataset Split

Train Set 88%
21Images
Valid Set 4%
1Images
Test Set 8%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -20° and +20°
Exposure: Between -10% and +10%
Noise: Up to 0.46% of pixels

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