View anomaly model results

Once an anomaly model result based on the good images and test images is available, you can view it under the Results tab of the project catalog.

The Results tab displays the anomalies indicated with red dots on the top right of the test images submitted for inference.

View anomaly segmentation model results

Refer to the following video to browse and view anomaly segmentation model results.

Once you have created an anomaly model, you can view the anomaly model in the Anomaly Models page.

To filter and search for anomaly models
1. Click the Filter icon on the top right corner.
2. Select from Draft, Training, Failed, or Completed, and click Apply.
  
  Based on the selection, the Anomaly Models page displays the list of models.
To edit an anomaly model details
1. Click the 3-dots icon on an anomaly model card.
2. Click Edit description to edit the description for the model.
3. Click Rename to rename the model.
Archive and unarchive an anomaly model.
1. To archive an anomaly model, click the 3-dots icon on an anomaly model card and select Archive.
  
  The model gets archived and is not displayed in the Anomaly Models page.
2. To view the archived models on the page, enable the Show Archived option on the top-right corner of the page.
  
  The archived models appear on the page.
3. To unarchive the model, click the 3-dots icon on the archived model card, and click Unarchive.
4. On the 3-dots icon, click Delete to delete the anomaly model.

In the left navigation panel, navigate to Model Copilot > Anomaly Segmentation.
In the Anomaly Models screen, locate the card corresponding to the model. If the status is Completed, then click the View button to land on the Results page.

In the model screen, click the Settings icon on the top-right corner.
Enable Show Heatmap and increase or decrease the opacity.
The heatmap image highlights the anomalies with bright colors, as shown.
Enable Verbose to view the image file information.
Enable Show Distribution to view the distribution of anomalies in graphical format.

Click an image from the Results tab to view the test image with and without heatmap side by side.
This helps to analyze the anomalies detected and take necessary actions.
Click the Settings icon on the top-right corner to view or hide the heatmap image.
Zoom in or out the images for better visibility, as needed.

Post processing rules allow custom conditions that can be applied to categorize an image as an anomaly.

Click the Create Rule button on the top to define the post-processing rule.
Modify the pixel anomaly threshold as needed. The ‘pixel anomaly threshold’ decides the anomaly value on the pixel above which it should be considered an anomalous pixel. The other rule conditions specify how anomalous pixels should determine whether the image is an anomaly. The conditions available are
1. Pixel anomaly percentage: Percentage of pixels in the image that qualifies as an anomaly.
2. Min/Max blob size: An anomaly blob is a contiguous group of anomalous pixels. These conditions allow for the specification of the size of the anomaly blob in terms of pixels.
Click ‘Create’. The rule executes and the results will be refreshed based on the applied conditions.
Click Unnamed adjacent to the Create Rule button and enter a Name for the rule.
Click the Sort control option adjacent to the Settings icon, to sort the anomalies based on a specific attribute.
Click Save to save the rule for retrieval of the results later.
Enter Name and Description for the rule, and click Save.
You can view all the saved rules under the Saved Rules button.

You can use the saved rule to access the quality of the results and create new rules, if needed.

To view the saved rules, click the Saved Rules button and select the rule.

The results, as per the applied rule, will be presented.