Dataset Versions

v1

2022-09-20 12:38pm

Generated on Sep 20, 2022

Dataset Split

Train Set 82%
6586Images
Valid Set 12%
926Images
Test Set 6%
475Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 34% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -36% and +36%
Brightness: Between -34% and +34%
Exposure: Between -15% and +15%
Cutout: 6 boxes with 16% size each