Predictions on the Deploy Page

When you deploy a model and then use it to run inference on images, you can view those images and the prediction information on the Deploy page. You can also save these images to your dataset so that you can then update your model with the newest information. This process is called continuous learning, and it allows you to fine-tune your model as you get results from real-world scenarios.

To maintain accurate recordkeeping, images cannot be deleted from the Deploy page.

View the Predictions for the Images that the Model Ran Inference On

When Are Predicted Images Saved to the Deploy Page?

Images are saved to the Deploy page when:

• You run inference via Cloud Deployment.
• You enable Upload Results to LandingLens for an Inspection Point in LandingEdge. 
• You include the --upload flag when deploying a model using Docker Deployment.

Images are NOT saved to the Deploy page when:

• You use the Try this model tool. This tool is designed to test your model before it's deployed in a production environment. Including test results could skew your production data. (For legacy "classic" workflow users, this section DOES includes results from the Predict tool.)

Save Predicted Images to Your Dataset

You can save predicted images to your dataset (the Build tab) to train a model with those images. For example, let's say that you have a model trained to detect hardware in cereal, but the model did not detect a screw in some images. You can save these images to your dataset, label them, and then retrain your model. This process is called continuous learning.

To ensure that all labels are accurate and approved by your team, saving images to your dataset does not save the predictions as labels. Images saved from the Deploy page to your dataset are marked as "unlabeled". Label the images and train a new model to incorporate the new information into a model.

To save images from the Deploy page to your dataset:

1. Go to the Deploy page.
2. Click the deployment you want to see the results for in the Cloud Deployment or Self Hosted Deployment section.
   
   Click a Deployment to See It's Prediction Results
3. Select the images you want to save to your dataset.
4. Click Add Images to Build.
   
   Select and Add Images
5. LandingLens saves those images to the dataset. Go to the Build tab and see the new images. You can now label the images and train a new model.
   
   View the Images in the Build Tab
6. Back on the Deploy page, the image statuses change from Raw to In Sync.

Image Statuses

Images on the Deploy page have one of these status: Raw and In Sync.

• Raw means that the image is the original that was uploaded to the project.
• In Sync means that the image was sent to the Build tab.

Image Detail Settings

Click an image on the Deploy page to see more image and prediction details. The image and table below describe the key elements of the Image Details pop-up window.

Image Details