Dataset Versions

v1

anomaly_detect

Generated on Dec 3, 2021

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Dataset Split

Train Set 90%
231Images
Valid Set 8%
20Images
Test Set 2%
6Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%

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