Dataset Versions

Versions
2023-02-11 12:01pm
v18
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2 years ago
2023-02-10 12:01pm
v17
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2 years ago
2023-02-09 3:04pm
v16
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2 years ago
2023-02-06 11:23am
v15
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2 years ago
2023-02-05 5:19pm
v14
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2 years ago
2023-02-02 3:31pm
v13
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2 years ago
2023-01-31 4:52pm
v12
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2 years ago
2023-01-31 12:27pm
v11
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2 years ago
2023-01-30 9:15am
v10
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2 years ago
2023-01-27 10:35am
v8
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2 years ago
2023-01-25 4:35pm
v4
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2 years ago
2023-01-23 11:05am
v3
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2 years ago
2023-01-21 9:35am
v2
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2 years ago
2023-01-20 12:00pm
v1
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2 years ago
v15

2023-02-06 11:23am

Generated on Feb 6, 2023
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438 Total Images

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Dataset Split

Train Set 93%
408Images
Valid Set 3%
14Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Static Crop: 13-86% Horizontal Region, 13-86% Vertical Region
Resize: Stretch to 2048x2048
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -44% and +44%
Brightness: Between -32% and +32%
Exposure: Between -16% and +16%
Blur: Up to 0.5px
Noise: Up to 2% of pixels

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