Kyungpook National University

stationery detection for 5

Object Detection

stationery detection for 5 Image Dataset

v1

2023-02-17 4:19pm

Generated on Feb 17, 2023

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Dataset Split

Train Set 87%
198Images
Valid Set 8%
19Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Shear: ±19° Horizontal, ±18° Vertical
Brightness: Between -43% and +43%
Exposure: Between -30% and +30%
Blur: Up to 4px
Cutout: 8 boxes with 10% size each
Mosaic: Applied