Dataset Versions

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2023-10-17 11:58pm
v2
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a year ago
2023-10-17 11:54pm
v1
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a year ago
v1

2023-10-17 11:54pm

Generated on Oct 18, 2023
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Dataset Split

Train Set 87%
1419Images
Valid Set 8%
135Images
Test Set 4%
68Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 48% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -31% and +31%

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