Comparison of State Vector Machine and Decision Tree - Content Based Image Retrieval Algorithms to Perceive Accuracy

In recent years, there has been a significant amount of interest in Query By Image Content retrieval (QBIC). CBIR is a technique for getting images comparable to the image given as a query from a huge database. In the context of image retrieval, CBIR is more similar to human semantics. In addition to medical imaging, surveillance, weather forecasting, crime prevention, and remote sensing, the CBIR technique is used in a variety of fields. This context refers to content as the visual information in images, like texture, shape, and color. In comparison to text-based image retrieval, image content contains more information for efficient retrieval. In this study, we used Python to implement CBIR algorithms such as SVM and DT and compared their accuracy.