Dataset Versions

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Versions
2024-09-15 2:29pm
v7
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2 months ago
2024-09-14 4:08am
v6
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3 months ago
2024-09-10 4:00am
v4
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3 months ago
2024-09-10 3:46am
v3
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3 months ago
2024-09-09 5:40am
v2
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3 months ago
2024-09-09 5:30am
v1
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3 months ago
v1

2024-09-09 5:30am

Generated on Sep 9, 2024
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280 Total Images

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Dataset Split

Train Set 86%
240Images
Valid Set 11%
30Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Exposure: Between -10% and +10%
Noise: Up to 1.5% of pixels

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