Dataset Versions

Versions
2023-06-07 10:29am
v4
·
2 years ago
2023-06-07 8:21am
v3
·
2 years ago
2023-06-07 8:13am
v2
·
2 years ago
2023-06-07 8:10am
v1
·
2 years ago
v1

2023-06-07 8:10am

Generated on Jun 7, 2023
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330 Total Images

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Dataset Split

Train Set 100%
330Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±18° Horizontal, ±18° Vertical
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 1.5px
Noise: Up to 1% of pixels

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