National Chung Cheng University

YOLOv5_5000img

Object Detection

YOLOv5_5000img Image Dataset

v3

YOLOv7_withVAL

Generated on May 23, 2023

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Dataset Split

Train Set 90%
11526Images
Valid Set 6%
729Images
Test Set 4%
486Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Brightness: Between -20% and +20%
Noise: Up to 1% of pixels
Cutout: 5 boxes with 9% size each
Mosaic: Applied