Dataset Versions

Versions
2024-05-06 12:38am
v7
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6 months ago
2024-04-28 9:28pm
v6
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6 months ago
2024-04-28 1:22am
v4
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6 months ago
2024-04-27 2:19am
v3
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6 months ago
2024-04-27 2:18am
v2
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6 months ago
2024-04-25 2:01am
v1
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6 months ago
v2

2024-04-27 2:18am

Generated on Apr 26, 2024
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418 Total Images

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Dataset Split

Train Set 86%
360Images
Valid Set 7%
29Images
Test Set 7%
29Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -9% and +9%
Blur: Up to 2.5px

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