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v32

2023-10-05 12:40am

Generated on Oct 4, 2023
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95 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 100%
95Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 2 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -51% and +51%
Exposure: Between -10% and +10%
Cutout: 12 boxes with 3% size each
Mosaic: Applied

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