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2023-01-13 1:49pm
v7
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2 years ago
2023-01-13 1:23pm
v6
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2 years ago
2023-01-13 1:20pm
v5
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2 years ago
2023-01-13 1:18pm
v4
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2 years ago
2023-01-13 12:46pm
v3
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2 years ago
2023-01-13 12:36pm
v2
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2 years ago
2023-01-13 12:29pm
v1
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2 years ago
v3

2023-01-13 12:46pm

Generated on Jan 13, 2023
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126 Total Images

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Dataset Split

Train Set 100%
126Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -9° and +9°
Shear: ±34° Horizontal, ±23° Vertical
Saturation: Between -62% and +62%
Brightness: Between -61% and +61%
Exposure: Between -43% and +43%
Blur: Up to 5px
Noise: Up to 8% of pixels

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