Dataset Versions

v43

9055

Generated on Mar 29, 2024

Dataset Split

Train Set 90%
1338Images
Valid Set 5%
74Images
Test Set 5%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns
Filter Null: Require at least 40% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%

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