Dataset Versions

v1

1024-rev1

Generated on Oct 26, 2024

Dataset Split

Train Set 92%
5405Images
Valid Set 5%
305Images
Test Set 3%
157Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°