Dataset Versions

v5

2023-10-30 10:19am

Generated on Oct 30, 2023

Dataset Split

Train Set 87%
3990Images
Valid Set 8%
381Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Brightness: Between -26% and +26%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 12% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 19% Maximum Zoom
Bounding Box: Noise: Up to 4% of pixels

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