How to deploy and use a trained application?

Owned by polina.vinogradova (Unlicensed), created
Last updated: Dec 19, 2023
4 min read

Get optimal results with your brand-new trained application by learning how to carry out actual image analyses with it.

In the Introduction to IKOSA AI section, you have been acquainted with the process of successfully training a custom image analysis application. Yet, in order to perform actual analysis tasks, you have to first prepare the model for examining novel image data.

In this article, you will learn how to deploy your custom IKOSA AI applications and subsequently analyze new image data with them.

What to expect from this page?

Get started

  1. Go to the “IKOSA AI Dashboard”.

  2. Click the “Training Overview” item or

  3. Go to the “Latest Training Sessions” list.

Access an existing application training through the IKOSA AI dashboard

Deploy/Undeploy your trained model

Initially, your custom application will be in an undeployed mode with the status “successful”.

For subsequently applying your custom application to new image data:

  1. Choose “Deploy” from the hamburger button.

  2. When the status “deployed” is displayed, the status indicator switches from green to blue, and your application is ready for use.

Deploy an IKOSA AI application

Please note: Depending on your software package, you will be able to train and activate (deploy) a certain number of apps. If you need to deploy an app but the the maximum number if already activated, Undeploy one of the apps from the hamburger Button and proceed deploying the new app as shown above.

Use your application on “unseen” images

The term “unseen images” refers to image data that is novel to your trained model. To run your application training on novel image data follow our step-by-step guidelines.

Step 1 - Navigate to the images for analysis with your IKOSA AI app

Once your application is deployed, switch to the respective “Image Library” of the current project:

Option 1:

  1. Go to the “Training Overview” page.

  2. Click the “View your application” link.

  3. A window with images for analysis opens.

Option 2:

  1. Go to the main “Dashboard”.

  2. Click the “Projects” list item.

  3. Select the project for which you trained your application.

  4. Navigate to the “Image Library” page.

Step 2 - Select images and start the analysis

From the “Image Library” page

From the “Image Viewer”

From the “Image Library” page

From the “Image Viewer”

Please note: It is best to use images that were not part of the training/validation set.

  1. In your “Image Library” choose a representative image (or multiple images) that you would like to have analyzed with your trained application.

  2. Click the “Image Analysis” button after selecting the image(s).

  3. Go to the “IKOSA AI Applications” tab.

  4. Choose your trained application.

  5. Start the analysis by clicking the “Start job” button.

Start image analysis directly from the “Image Viewer”.

  1. While in image viewing mode click the “Image Analysis” button.

  2. Go to the “IKOSA AI Applications” tab.

  3. Choose your trained application.

  4. Start the analysis by clicking the “Start job” button.

Collect your results

Step 1 - Navigate to the Analysis Jobs

Once your analysis job is done, it will be displayed in the Finished tab.

  • Depending on the complexity of your trained model, the analysis might take a few moments in which the job will be in an Active state.

  • If your analysis job is not finished yet, you can refresh the analysis jobs results section anytime by clicking the “Refresh” button.

Step 2 - Download your results

  • Get only an individual output file for a single image by opening the drop-down menu next to it and downloading the desired file.

  • Get all result outputs for a single image by clicking the “Download” icon next to it.

  • Get a zipped file containing the result outputs for all images in the project by clicking the “Download all” button above the table.

  • Get a zipped file containing the result outputs for all images in the project merged in a single CSV-file by clicking the “Download all merged” button above the table.

Please note: For quantitative analysis you will be presented .csv or .xlsx files and .jpg files with visualizations. 

You have done a great job obtaining solid numeric data from your images!

All you have to do now is to transfer the data into your statistical package and look for patterns in it.

If you still have questions regarding your application training, feel free to send us an email at support@ikosa.ai. Copy-paste your training ID in the subject line of your email.

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