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2023-04-26 9:44pm
v16
·
2 years ago
2023-04-11 11:35pm
v14
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2 years ago
2023-04-04 11:02am
v13
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2 years ago
2023-04-04 10:36am
v12
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2 years ago
2023-03-30 4:24pm
v9
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2 years ago
2023-03-25 3:38pm
v7
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2 years ago
2023-03-23 2:22pm
v5
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2 years ago
2023-03-20 3:29pm
v3
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2 years ago
v16

2023-04-26 9:44pm

Generated on Apr 26, 2023
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7973 Total Images

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Dataset Split

Train Set 70%
5556Images
Valid Set 19%
1476Images
Test Set 12%
941Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 11 dropped

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 50% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 10% of pixels
Cutout: 5 boxes with 25% size each

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