Dataset Versions

Versions
2024-02-09 5:04pm
v6
·
a year ago
2024-02-09 4:53pm
v5
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a year ago
2024-02-09 4:39pm
v4
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a year ago
2024-02-09 4:19pm
v3
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a year ago
2024-02-09 3:29pm
v2
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a year ago
2024-02-09 2:50pm
v1
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a year ago
v3

2024-02-09 4:19pm

Generated on Feb 9, 2024
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156 Total Images

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Dataset Split

Train Set 87%
135Images
Valid Set 8%
13Images
Test Set 5%
8Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 1.8px

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