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2023-05-04 8:53am
v7
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2 years ago
2023-05-02 5:52pm
v6
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2 years ago
2023-05-02 1:23am
v5
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2 years ago
2023-05-01 8:41pm
v4
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2 years ago
2023-05-01 8:41pm
v3
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2 years ago
2023-05-01 8:41pm
v2
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2 years ago
2023-05-01 8:41pm
v1
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2 years ago
v6

2023-05-02 5:52pm

Generated on May 2, 2023
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3001 Total Images

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Dataset Split

Train Set 87%
2620Images
Valid Set 8%
250Images
Test Set 4%
131Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -38° and +38°
Grayscale: Apply to 27% of images

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