Question
Image classification using R
Answer :
Word Count : 276
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Image classification using R involves the use of statistical and machine learning techniques to categorize pixels or regions of an image into meaningful classes. R, being a versatile programming language, offers several packages such as `raster`, `terra`, `caret`, and `randomForest` which facilitate image processing and classification tasks. The process typically begins with loading the image data, which can be in the form of raster files, satellite images, or multispectral datasets. Preprocessing steps such as noise removal, normalization, and conversion to
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