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
v2

2023-07-07 4:03pm

Generated on Jul 7, 2023
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Dataset Split

Train Set 88%
30Images
Valid Set 9%
3Images
Test Set 3%
1Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels

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