chungnam university

Round-Gauge2

Object Detection

Round-Gauge2 Image Dataset

v2

2022-05-27 5:25pm

Generated on May 27, 2022

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Dataset Split

Train Set 91%
633Images
Valid Set 6%
41Images
Test Set 3%
21Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels