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2023-10-29 11:14am
v8
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a year ago
2023-10-28 10:21pm
v7
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a year ago
2023-10-28 8:45pm
v6
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a year ago
2023-10-28 7:41pm
v5
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a year ago
2023-10-28 7:29pm
v4
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a year ago
2023-10-28 7:27pm
v3
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a year ago
2023-10-28 7:08pm
v2
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a year ago
2023-10-28 1:25pm
v1
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a year ago
v5

2023-10-28 7:41pm

Generated on Oct 28, 2023
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Dataset Split

Train Set 78%
51Images
Valid Set 17%
11Images
Test Set 5%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -12° and +12°
Brightness: Between -32% and +32%
Blur: Up to 1.25px
Noise: Up to 4% of pixels

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