Dataset Versions

Versions
2022-05-05 10:39am
v6
·
3 years ago
2022-05-05 10:37am
v5
·
3 years ago
2022-05-05 10:37am
v4
·
3 years ago
2022-05-05 10:36am
v3
·
3 years ago
2022-05-05 10:36am
v2
·
3 years ago
2022-05-05 10:35am
v1
·
3 years ago
v3

2022-05-05 10:36am

Generated on May 5, 2022
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30 Total Images

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Dataset Split

Train Set 100%
30Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±19° Vertical
Hue: Between -97° and +97°
Brightness: Between -53% and +53%
Exposure: Between -30% and +30%
Blur: Up to 2.5px

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