Dataset Versions

Versions
2023-12-06 3:44pm
v10
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a year ago
2023-12-06 3:44pm
v9
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2023-12-06 3:44pm
v8
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2023-12-06 3:43pm
v7
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v6
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v5
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v4
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v3
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v2
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2023-12-06 3:43pm
v1
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a year ago
v1

2023-12-06 3:43pm

Generated on Dec 6, 2023
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57 Total Images

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Dataset Split

Train Set 100%
57Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 4% of images
Hue: Between -3° and +3°
Saturation: Between -5% and +5%
Brightness: Between -1% and +1%
Exposure: Between -2% and +2%
Blur: Up to 0.25px
Noise: Up to 1% of pixels

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