Dataset Versions

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Versions
2023-09-17 10:34pm
v7
·
a year ago
2023-09-17 10:28pm
v6
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a year ago
2023-09-17 10:21pm
v5
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a year ago
2023-09-12 6:51pm
v4
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a year ago
2023-09-12 5:29pm
v3
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a year ago
2023-09-11 6:01am
v2
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a year ago
2023-09-10 2:36am
v1
·
a year ago
v3

2023-09-12 5:29pm

Generated on Sep 12, 2023
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3374 Total Images

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Dataset Split

Train Set 84%
2838Images
Valid Set 7%
235Images
Test Set 9%
301Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -50% and +50%
Blur: Up to 1px
Noise: Up to 5% of pixels

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