Supervised image classification 

Supervised image classification is a popular machine learning technique that involves training a model to identify and classify different objects in images. This technique involves the use of labeled data, where images are assigned specific classes or categories based on their content. The model then learns to recognize patterns and features within the images that correspond to these categories, allowing it to classify new images it has never seen before.

The process of supervised image classification typically involves several steps. First, a dataset of labeled images is collected, where each image is assigned a specific class or category based on its content. This labeled dataset is then used to train a machine learning model, such as a neural network or decision tree, to recognize patterns and features in the images that correspond to these classes. During training, the model adjusts its weights and biases _________ _________ _______ ___ __________ _____ _______ __________ __________ _____.
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