Dataset Versions

Versions
2023-06-07 10:24am
v6
·
2 years ago
2023-06-06 9:45pm
v5
·
2 years ago
2023-06-06 9:40pm
v4
·
2 years ago
2023-06-06 9:39pm
v3
·
2 years ago
2023-06-06 9:38pm
v2
·
2 years ago
2023-06-06 9:33pm
v1
·
2 years ago
v6

2023-06-07 10:24am

Generated on Jun 7, 2023
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516 Total Images

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Dataset Split

Train Set 100%
516Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 1% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 2% of pixels

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