This article applies to these versions of LandingLens:
LandingLensLandingLens on Snowflake
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Use LandingLens to develop Anomaly Detection models! The ability to create Anomaly Detection models enables your organization to detect visual deviations and irregularities—with few images of defects upfront. Whether monitoring quality on a production line, identifying out-of-place items in a warehouse, or flagging visual inconsistencies in your digital workflows, Anomaly Detection helps uncover what doesn’t belong—before it becomes a business issue. Watch this video tutorial to learn:
  • What an Anomaly Detection model is
  • How to classify images as Normal or Abnormal at upload
  • What images LandingLens uses to train models
  • How to use heatmaps to understand model predictions