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2023-04-07 5:20pm
v9
·
2 years ago
2023-04-07 3:30pm
v7
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2 years ago
2023-04-06 8:32pm
v6
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2 years ago
2023-03-31 8:22pm
v5
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2 years ago
2023-03-28 9:30am
v4
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2 years ago
2023-03-27 5:23pm
v3
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2 years ago
2023-03-27 10:01am
v2
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2 years ago
2023-03-25 10:47am
v1
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2 years ago
v7

2023-04-07 3:30pm

Generated on Apr 7, 2023
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399 Total Images

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Dataset Split

Train Set 92%
369Images
Valid Set 5%
20Images
Test Set 3%
10Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 60% of images
Saturation: Between -55% and +55%
Exposure: Between -20% and +20%

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