Dataset Versions

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Versions
2023-09-18 6:56pm
v14
·
a year ago
2023-07-29 6:34pm
v13
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a year ago
2023-07-29 6:32pm
v12
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a year ago
2023-07-29 4:19pm
v11
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a year ago
2023-07-29 4:18pm
v10
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a year ago
2023-07-29 4:17pm
v9
·
a year ago
2023-07-29 4:11pm
v8
·
a year ago
2023-07-24 11:04am
v7
·
a year ago
2023-07-24 10:53am
v6
·
a year ago
2023-07-24 10:41am
v5
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a year ago
2023-07-20 11:13am
v4
·
a year ago
2023-07-20 11:06am
v3
·
a year ago
2023-07-20 12:23am
v2
·
a year ago
2023-07-18 9:24am
v1
·
a year ago
v3

2023-07-20 11:06am

Generated on Jul 20, 2023
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Dataset Split

Train Set 88%
273Images
Valid Set 6%
20Images
Test Set 6%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 360x1000
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -40% and +40%
Blur: Up to 4.25px

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