Dataset Versions

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Versions
2024-05-29 6:56pm
v6
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6 months ago
2024-05-22 2:55pm
v5
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6 months ago
2024-05-22 2:39pm
v4
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6 months ago
2024-05-22 9:20am
v3
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6 months ago
2024-05-22 9:12am
v2
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6 months ago
2024-05-21 7:09pm
v1
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6 months ago
v2

2024-05-22 9:12am

Generated on May 22, 2024
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124 Total Images

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Dataset Split

Train Set 92%
114Images
Valid Set 8%
10Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%
Blur: Up to 1.6px
Noise: Up to 2.99% of pixels

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