Dataset Versions

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Versions
2023-10-10 4:37pm
v6
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a year ago
2023-10-10 11:10am
v5
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a year ago
2023-10-03 7:09pm
v4
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a year ago
2023-10-03 7:00pm
v3
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a year ago
2023-10-03 5:43pm
v2
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a year ago
2023-10-03 5:41pm
v1
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a year ago
v2

2023-10-03 5:43pm

Generated on Oct 3, 2023
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26 Total Images

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Dataset Split

Train Set 92%
24Images
Valid Set 4%
1Images
Test Set 4%
1Images

Preprocessing

Auto-Orient: Applied
Static Crop: 17-82% Horizontal Region, 0-39% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Mosaic: Applied

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