A MATLAB tutorial demonstrating how to use the NIMA (Neural Image Assessment) convolutional neural network to quantify image aesthetics and image quality — including downloading pretrained models, preprocessing and augmentation, training using the LIVE In the Wild dataset, modifying MobileNet-v2, and evaluating results with EMD, binary accuracy and correlation metrics.
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![[Function Test] DH-IPC-HFW8238E-Z-IRA](https://debugland.name/wp-content/uploads/2025/11/0-7818-480x270.jpeg)
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