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2023-06-20 8:16pm
v7
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a year ago
2023-06-20 8:15pm
v6
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a year ago
2023-06-20 8:09pm
v5
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a year ago
2023-06-20 5:17pm
v4
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a year ago
2023-06-20 4:20pm
v3
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a year ago
2023-06-20 4:15pm
v2
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a year ago
2023-06-20 3:58pm
v1
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a year ago
v6

2023-06-20 8:15pm

Generated on Jun 20, 2023
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3735 Total Images

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Dataset Split

Train Set 88%
3273Images
Valid Set 7%
261Images
Test Set 5%
201Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1280x1280
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%

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