Dataset Versions

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Versions
2023-07-19 9:00am
v16
·
a year ago
2023-07-19 7:42am
v14
·
a year ago
2023-07-18 6:22pm
v13
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a year ago
2023-07-18 5:49pm
v12
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a year ago
2023-07-18 2:29pm
v11
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a year ago
2023-07-18 1:32pm
v8
·
a year ago
2023-07-14 1:36pm
v3
·
a year ago
2023-07-14 9:38am
v1
·
a year ago
v16

2023-07-19 9:00am

Generated on Jul 19, 2023
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4942 Total Images

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Dataset Split

Train Set 88%
4325Images
Valid Set 8%
412Images
Test Set 4%
205Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 3 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -22% and +22%
Blur: Up to 1.75px

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