Dataset Versions

v5

2023-01-08 4:11pm

Generated on Jan 8, 2023

Dataset Split

Train Set 82%
1020Images
Valid Set 13%
161Images
Test Set 5%
62Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -6% and +6%
Exposure: Between -9% and +9%
Blur: Up to 1.25px
Cutout: 3 boxes with 10% size each

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