AI Image Classification on iOS with ResNet

Jarek Szczegielniak

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28 Aug 2020CPOL5 min read

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Having converted a ResNet model to the Core ML format in the previous article, in this article we’ll now use it in a simple iOS application.

Here we'll set up your sample application, set up the model, figure out how to handle classification requests in your application, and add our converted ResNet model to the project.

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This article is part of the series 'Mobile Neural Networks on iOS with Core ML ◁ Prev View All Next ▷

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Jarek Szczegielniak

Architect

Poland

Jarek has two decades of professional experience in software architecture and development, machine learning, business and system analysis, logistics, and business process optimization.
He is passionate about creating software solutions with complex logic, especially with the application of AI.

AI Image Classification on iOS with ResNet

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