Dataset Versions

v2

data augmentation2

Generated on Feb 13, 2023

Dataset Split

Train Set 100%
6042Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 410x410
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%

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