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2024-09-08 4:58am
v5
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4 months ago
2024-09-07 7:27am
v4
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4 months ago
2024-09-02 10:42am
v3
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4 months ago
2024-08-31 2:15am
v2
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4 months ago
2024-08-30 2:17pm
v1
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4 months ago
v1

2024-08-30 2:17pm

Generated on Aug 30, 2024
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Dataset Split

Train Set 88%
15Images
Valid Set 6%
1Images
Test Set 6%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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