Dataset Versions

Versions
2023-10-06 9:44pm
v1
·
a year ago
v1

2023-10-06 9:44pm

Generated on Oct 6, 2023
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600 Total Images

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Dataset Split

Train Set 100%
600Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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