Dataset Versions

Versions
2023-08-14 6:54pm
v3
·
a year ago
Less Augmentation
v2
·
a year ago
Lots of Augmentation
v1
·
a year ago
v2

Less Augmentation

Generated on Aug 14, 2023
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Dataset Split

Train Set 88%
273Images
Valid Set 8%
26Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 9% of pixels
Mosaic: Applied

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