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Versions
2023-05-08 9:14am
v17
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2 years ago
2023-04-26 1:24pm
v16
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2 years ago
2023-04-24 11:27am
v15
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2 years ago
2023-04-19 4:02pm
v14
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2 years ago
2023-04-19 2:02pm
v13
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2 years ago
2023-04-17 2:22pm
v12
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2 years ago
2023-03-27 11:50am
v10
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2 years ago
2023-03-20 3:05pm
v9
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2 years ago
2023-03-20 3:05pm
v8
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2 years ago
2023-03-20 3:05pm
v7
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2 years ago
2023-03-20 3:05pm
v6
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2 years ago
2023-03-20 3:05pm
v5
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2 years ago
2023-03-20 2:45pm
v2
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2 years ago
2023-01-11 10:55am
v1
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2 years ago
v8

2023-03-20 3:05pm

Generated on Mar 20, 2023
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Dataset Split

Train Set 86%
315Images
Valid Set 8%
28Images
Test Set 7%
24Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -12% and +12%
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 8% of pixels

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