Classify images with alexnet into 2 classes and calculate performance

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Me His 2018-11-5

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https://ww2.mathworks.cn/matlabcentral/answers/428036-classify-images-with-alexnet-into-2-classes-and-calculate-performance

回答： Gagan Agarwal 2024-6-14

Hi everyone ,I want to use alexnet to classify my image dataset into 2 classes and evaluate the performances (Accuracy, Sensitivity, Sensibiliity...) using the confusion matrix after the classification.I am beginner in matlab can anyone post a guide or code wich i can follow it. and Thanks.

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Answer 1

Gagan Agarwal 2024-6-14

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https://ww2.mathworks.cn/matlabcentral/answers/428036-classify-images-with-alexnet-into-2-classes-and-calculate-performance#answer_1471771

Hi His

You can refer to the following steps to classify the image dataset into 2 classes and evaluating the model's performance

Loading and Preprocessing the Data: Begin by loading your dataset and conducting necessary preprocessing. Ensure that each data point is labeled with a result field indicating one of the two desired classes.
Splitting the Data into Training and Testing Sets: Divide your dataset into two parts: one for training the model (training set) and the other for evaluating the model's performance (testing set).
Preparing AlexNet for Binary Classification: Load AlexNet and adjust it as needed to make it suitable for binary classification tasks.
Specifying Training Options and Training the Network: Choose appropriate training options for your model. Proceed to train the network using the training set prepared in the previous steps.
Evaluating the Network: After training, evaluate the performance of your network using the testing set. For calculating 'accuracy', you may refer to below documentation.