Edge Impulse Experts / Visual Anomaly Detection (FOMO_AD) Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Anomaly Accuracy Result
non_anomaly18 no anomaly 12.52 100% no anomaly
non_anomaly36 no anomaly 11.66 100% no anomaly
non_anomaly70 no anomaly 6.02 100% no anomaly
non_anomaly16 no anomaly 15.88 100% no anomaly
non_anomaly32 no anomaly 10.84 100% no anomaly
non_anomaly7 no anomaly 14.92 100% no anomaly
non_anomaly91 no anomaly 4.80 100% no anomaly
non_anomaly55 no anomaly 8.51 100% no anomaly
non_anomaly3 no anomaly 12.81 100% no anomaly
anomaly1 anomaly 28.79 100% anomaly
anomaly6 anomaly 14.25 0% no anomaly
anomaly9 anomaly 19.17 100% anomaly
anomaly4 anomaly 25.12 100% anomaly
anomaly7 anomaly 25.33 100% anomaly
anomaly5 anomaly 28.18 100% anomaly
anomaly3 anomaly 32.73 100% anomaly
anomaly2 anomaly 35.95 100% anomaly
anomaly8 anomaly 19.98 100% anomaly

Model testing output

Results

Model version:
Loading...
Loading...