Dataset Versions

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Versions
2024-06-06 10:54am
v6
·
6 months ago
2024-06-02 8:43am
v5
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7 months ago
2024-06-01 7:02pm
v4
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7 months ago
2024-03-19 1:45pm
v3
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9 months ago
2024-03-19 12:15pm
v2
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9 months ago
2024-03-19 12:11pm
v1
·
9 months ago
v1

2024-03-19 12:11pm

Generated on Mar 19, 2024
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Dataset Split

Train Set 92%
410Images
Valid Set 4%
17Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%

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