3cls ghostnet with v8 merged extra images 2

Object Detection

3cls ghostnet with v8 merged extra images 2 Dataset

v4

5200grydts

Generated on Aug 20, 2024

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Dataset Split

Train Set 92%
4800Images
Valid Set 4%
200Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 4 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 1.49% of pixels

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