Dataset Versions

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Versions
2023-08-08 10:35pm
v6
·
a year ago
2023-08-08 9:56pm
v5
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a year ago
2023-08-03 2:05am
v4
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a year ago
2023-07-23 7:56pm
v3
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a year ago
2023-07-23 5:43pm
v2
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a year ago
2023-07-23 1:58pm
v1
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a year ago
v4

2023-08-03 2:05am

Generated on Aug 2, 2023
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2533 Total Images

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Dataset Split

Train Set 88%
2229Images
Valid Set 8%
202Images
Test Set 4%
102Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px

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