Dataset Versions

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Versions
2023-07-10 1:03am
v8
·
a year ago
2023-07-02 12:41pm
v6
·
a year ago
2023-06-26 10:39am
v5
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a year ago
2023-06-25 10:45pm
v3
·
a year ago
2023-06-21 4:28pm
v2
·
a year ago
2023-06-21 4:16pm
v1
·
a year ago
v3

2023-06-25 10:45pm

Generated on Jun 25, 2023
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Dataset Split

Train Set 80%
114Images
Valid Set 10%
14Images
Test Set 10%
14Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Rotation: Between -19° and +19°
Shear: ±15° Horizontal, ±15° Vertical

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