Converting an ONNX Object Detection Model to iOS Core ML

Jarek Szczegielniak

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21 Nov 2020CPOL5 min read

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In this series, we’ll use a pretrained model to create an iOS application that will detect multiple persons and objects in a live camera feed rather than in a static picture.

In this article, we’ll start with the conversion of a YOLO Object Detection model from Open Neural Network Exchange format (ONNX) to Core ML.

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This article is part of the series 'Mobile Neural Networks on iOS with Core ML - Part 2 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.

Converting an ONNX Object Detection Model to iOS Core ML

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