Fault Detection 3 Dataset

v9

2021-10-12 5:35pm

Generated on Oct 12, 2021

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Dataset Split

Train Set 91%
387Images
Valid Set 4%
18Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Tile: 1 rows x 3 columns
Modify Classes: 9 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -11% and +11%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 1% of pixels

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