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2024-11-21 1:11am
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2024-11-19 6:30pm
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2024-10-22 1:13am
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2 months ago
2024-10-22 12:48am
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2 months ago
2024-10-22 12:27am
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2 months ago
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2024-10-22 12:12am
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2024-10-22 12:02am
v25
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2024-10-21 2:44pm
v24
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2024-10-21 1:36pm
v21
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2024-10-19 5:02pm
v18
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v18

2024-10-19 5:02pm

Generated on Oct 19, 2024
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Dataset Split

Train Set 87%
609Images
Valid Set 8%
59Images
Test Set 4%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1600x1600
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 0.02% of pixels
Cutout: 6 boxes with 13% size each

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