Dataset Versions

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Versions
2023-05-25 6:04pm
v6
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a year ago
2023-05-24 9:45pm
v5
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a year ago
2023-05-24 9:44pm
v4
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a year ago
2023-05-24 9:42pm
v3
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a year ago
2023-05-24 9:42pm
v2
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a year ago
2023-05-24 9:40pm
v1
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a year ago
v1

2023-05-24 9:40pm

Generated on May 24, 2023
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Dataset Split

Train Set 87%
153Images
Valid Set 8%
14Images
Test Set 5%
8Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 35% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Noise: Up to 6% of pixels

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