Dataset Versions

v5

2023-04-29 4:48pm

Generated on Apr 29, 2023

Dataset Split

Train Set 90%
1443Images
Valid Set %
0Images
Test Set 10%
168Images

Preprocessing

Tile: 8 rows x 16 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°

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