Automatically categorize images to represent their content with image classification
Below are a few selected use cases to illustrate how you can benefit from image classification in your projects.
Image Classification
Defect detection in mass production
Traditionally, monitoring the quality of manufactured products has been a time-consuming process with inconsistent accuracy. With recent advances in deep learning, this process can be easily automated. At the end of this article you’ll find a link to how to build your own defect detection model using the Peltarion Platform.
Creating a marketplace for farming equipment with AI
Read about how our user E-Farm, the first full-transaction online platform for pre-owned farm equipment, uses the Peltarion platform to better organize the equipment sold through their online marketplace.
Detecting damage after natural disasters
Following a natural disaster, one of the most critical tasks is to determine the priority areas for emergency response teams. Here, an AI model can leverage images and assist in quickly determining the degree of damage different areas have received.
Best practices /
Blogs, instructions and tutorials on image classification
We have listed some useful links below to help you get started with your own Image classification projects on the platform.
Data and preparation /
Get your data ready for image classification
Our aim is for you to succeed on the platform. Therefore, Peltarion offers all users personal support free of charge as well as an extensive pool of documentation.