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.
Go to the “IKOSA AI Dashboard”.
Click the “Training Overview” item or
Go to the “Latest Training Sessions” list.
Initially, your custom application will be in an undeployed mode with the status “successful”.
For subsequently applying your custom application to new image data:
Choose “Deploy” from the hamburger button.
When the status “deployed” is displayed, the status indicator switches from green to blue, and your application is ready for use.
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. |
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.
Once your application is deployed, switch to the respective “Image Library” of the current project:
Option 1:
Go to the “Training Overview” page.
Click the “View your application” link.
A window with images for analysis opens.
Option 2:
Go to the main “Dashboard”.
Click the “Projects” list item.
Select the project for which you trained your application.
Navigate to the “Image Library” page.
From the “Image Library” page | From the “Image Viewer” |
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Please note: It is best to use images that were not part of the training/validation set.
| Start image analysis directly from the “Image Viewer”.
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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.
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.