Dataset Versions

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Versions
2024-03-27 10:00am
v6
·
9 months ago
2024-03-22 12:42pm
v5
·
9 months ago
2024-03-21 4:08pm
v4
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9 months ago
2024-03-21 1:07pm
v3
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9 months ago
2024-03-21 11:57am
v2
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9 months ago
2024-03-20 11:50am
v1
·
9 months ago
v5

2024-03-22 12:42pm

Generated on Mar 22, 2024
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965 Total Images

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Dataset Split

Train Set 88%
846Images
Valid Set 8%
80Images
Test Set 4%
39Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 0.7px
Noise: Up to 0.3% of pixels

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