How to train an AI application with IKOSA AI? - A three part series
Image analysis results of nuclei segmentation. Copyrights: KML Vision

How to train an AI application with IKOSA AI? - A three part series

Have you ever wondered how IKOSA AI can be fully leveraged for your application training needs?

We have created a three part video series on application training, where we take a deep dive into this critical aspect of artificial intelligence.

Whether you are new to the field or a seasoned AI enthusiast, there is something here for everyone as we explore the fundamental aspects of AI application training, as an extension of the webinar “Crack the Code: AI Image Analysis for Histologywe did together with PreciPoint. James Brown, Sales Manager at PreciPoint, Phillip Clarke, Director of Customer Success at KML Vision and Chandrima Chanda, Content Manager at PreciPoint did a wonderful job in creating this webinar.

In this three part series you will learn how to prepare the data for the application training process, how to evaluate your app performance and how to use your trained application on unseen data to conduct an image analysis.

Part 1: Image Data Preparation and the Application Training Process

Did you know that the success of an AI application often depends on the quality and preparation of the training data? In this first video, we delve into the crucial role image data plays. From data collection, uploading it into the IKOSA Image Library to annotating and labeling the objects of interest, we provide you valuable insights to ensure you are starting on the right foot.

Part 2: Application Performance Evaluation

How can you tell if your AI application is performing at its best? Part 2 focuses on the evaluation of the application performance. We discuss the metrics and parameters that allow you to assess your model’s accuracy and overall effectiveness. IKOSA AI provides you with a comprehensive downloadable training report containing quantitative and qualitative results. This shows you where fine-tuning your application is needed.

Part 3: Application Usage on Unseen Data

Have you ever wondered whether your AI application can effectively handle and analyze new, unseen images? In the final installment of this series on AI application training, we tackle a challenge that every AI practitioner faces: ensuring that your model remains robust and reliable when confronted with data it has never encountered before. This is the ultimate test for any AI application.


Our software solution for training AI applications IKOSA AI allows you to train an application to solve your use case without any coding and AI experience. ??????


We are committed to providing you with concise, actionable information in this series, enabling you to take your AI Application training skills to the next level.?

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