Dataset Versions

Versions
2023-12-04 3:33pm
v10
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a year ago
2023-12-04 3:33pm
v9
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a year ago
2023-12-04 3:33pm
v8
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a year ago
2023-12-04 3:32pm
v7
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a year ago
2023-12-04 3:32pm
v6
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a year ago
2023-12-04 3:31pm
v5
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a year ago
2023-12-04 3:31pm
v4
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a year ago
2023-12-04 3:31pm
v3
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a year ago
2023-12-04 3:31pm
v2
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a year ago
2023-12-04 3:31pm
v1
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a year ago
v4

2023-12-04 3:31pm

Generated on Dec 4, 2023
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72 Total Images

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Dataset Split

Train Set 100%
72Images
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 -2° and +2°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 5% of images
Hue: Between -10° and +10°
Saturation: Between -5% and +5%
Brightness: Between -4% and +4%
Exposure: Between -3% and +3%
Blur: Up to 0.5px
Noise: Up to 1% of pixels

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