Get optimal results with your brand new trained algorithm 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 algorithm. Yet, in order to perform actual analysis tasks, you have to first prepare the algorithm for examining novel image data.

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

What to expect from this page?

(blue star) Get started

  1. Go to the mainDashboard”.

  2. Click the list item “Your IKOSA AI apps”.

(blue star) Deploy/Undeploy your trained algorithm

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

Please note: In the trial subscription plan you cannot train or deploy any algorithms, as you don’t have access to IKOSA AI. To be able to train algorithms you have to contact us and purchase an IKOSA AI license. Per IKOSA AI license a single model can be trained. If you want to train another models, you have to request for an additional IKOSA AI Inference. Per each IKOSA AI Inference requested a single model can be trained.

For subsequently applying your custom algorithm 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 algorithm is ready for use.

Deploy algorithms.mp4

Please note: In order to be able to deploy another trained algorithm, you have to first underlay the one currently displayed. To do this, choose Undeploy from the hamburger Button and proceed deploying the new algorithm as shown above.

(blue star) Use your algorithm on “unseen” images

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

Step 1 - Go to the “Image Library” page

Once your algorithm 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. Navigate to the “Image Library” page.

navigate to image library from app.mp4

Option 2:

  1. Go to the main “Dashboard”.

  2. Click the “Projects” list item.

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

  4. Navigate to theImage Library” page.

IKOSA - The world's most flexible platform for your images - Google Chrome 2022-05-18 13-40-51.mp4

Step 2 - Select images and start the analysis

From the “Image Library” page

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 algorithm.

  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.

select images and start the analysis.mp4

From the “Image Viewer”

  1. Start image analysis directly from the “Image Viewer”.

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

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

  4. Choose your trained application.

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

viewing mode.mp4

(blue star) Collect your results

Step 1 - Go to the “Image Analysis” page

Navigate to the “Image Analysis” page either by:

You will then be redirected to the “Image Analysis” page.

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Step 2 - Navigate to the Analysis jobs section

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

navigate to finished tasks.mp4

Step 3 - Download your results

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download individual files.mp4

download all merged.mp4

Please note: For quantitative analysis you will be presented .csv 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 algorithm 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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