Dataset Versions

Versions
2023-07-12 11:39am
v5
·
a year ago
2023-07-11 3:29pm
v4
·
a year ago
2023-07-11 2:57pm
v3
·
a year ago
2023-07-07 4:03pm
v2
·
a year ago
2023-07-07 2:28pm
v1
·
a year ago
v4

2023-07-11 3:29pm

Generated on Jul 11, 2023
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36 Total Images

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Dataset Split

Train Set 92%
33Images
Valid Set 6%
2Images
Test Set 3%
1Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -4° and +4°
Saturation: Between -5% and +5%
Brightness: Between -3% and +3%
Exposure: Between -3% and +3%

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