Impulse #1
An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
Image data
Image
Image axis is required
Classification
2 (anomaly, no anomaly)
2 (anomaly, no anomaly)
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Visual Anomaly Detection - FOMO-AD
1 (Anomaly score)
1 (Anomaly score)
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Output features
3 (anomaly, no anomaly, Anomaly score)
3 (anomaly, no anomaly, Anomaly score)
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No data collected yet
You'll need some training data to design your first impulse.
