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2022-12-28 4:15pm
v10
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2 years ago
2022-12-28 3:59pm
v9
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2 years ago
2022-12-28 3:07pm
v7
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2 years ago
2022-12-28 2:27pm
v5
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2 years ago
2022-12-27 5:45pm
v4
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2 years ago
2022-12-27 5:39pm
v3
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2 years ago
2022-12-27 5:12pm
v2
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2 years ago
2022-12-27 4:06pm
v1
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2 years ago
v2

2022-12-27 5:12pm

Generated on Dec 27, 2022
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Dataset Split

Train Set 86%
132Images
Valid Set 8%
12Images
Test Set 6%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 6px
Noise: Up to 5% of pixels

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