kyonggi university

yolov5_weapon

Object Detection

yolov5_weapon Image Dataset

v2

2023-10-04 12:10am

Generated on Oct 3, 2023

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Dataset Split

Train Set 82%
422Images
Valid Set 12%
60Images
Test Set 6%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical