matlab-deep-learning/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
This project helps researchers and engineers who use MATLAB to classify images by allowing them to leverage powerful TensorFlow deep learning models. It takes an image as input within MATLAB and outputs the classification result using a TensorFlow model, all without leaving the MATLAB environment. This is designed for practitioners who work with image data and prefer MATLAB for their analysis and visualization tasks.
Use this if you need to perform image classification using pre-trained TensorFlow models while primarily working in MATLAB.
Not ideal if you require very high-throughput image inference where latency between frameworks is critical or if you need to deploy models to embedded devices via automatic code generation.
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Jan 22, 2026
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