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Versions
2022-11-16 8:45pm
v14
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2 years ago
2022-11-16 12:44pm
v8
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2 years ago
2022-11-10 10:13am
v7
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2 years ago
2022-11-09 10:01pm
v6
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2 years ago
2022-11-09 5:51pm
v5
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2 years ago
2022-11-09 1:16pm
v4
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2 years ago
2022-11-08 10:06am
v3
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2 years ago
2022-11-07 7:02pm
v2
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2 years ago
2022-11-05 7:13am
v1
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2 years ago
v5

2022-11-09 5:51pm

Generated on Nov 9, 2022
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923 Total Images

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Dataset Split

Train Set 91%
843Images
Valid Set 6%
55Images
Test Set 3%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Noise: Up to 5% of pixels

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