Dataset Versions

Versions
2023-10-21 3:37am
v5
·
a year ago
2023-10-20 10:28pm
v4
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a year ago
2023-10-20 10:01pm
v3
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a year ago
2023-10-20 9:58pm
v2
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a year ago
2023-10-20 9:55pm
v1
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a year ago
v5

2023-10-21 3:37am

Generated on Oct 21, 2023
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Dataset Split

Train Set 86%
219Images
Valid Set 8%
21Images
Test Set 6%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -31% and +31%
Blur: Up to 3.75px

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