This Machine learning Image classification uses scikit-learn SVM image classification algorithm. It classifies image into three categories: Cars, Ice cream cone and Cricket ball with an accuracy of 90%. This project explores the performance of SVM in image classification. We can upload an image to predict its class/category using this project.
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Classification model using SVM into three categories: cars, ice cream and cricket balls with an accuracy of 90%
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prakmaurya/SVM-Image-Classifier
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Classification model using SVM into three categories: cars, ice cream and cricket balls with an accuracy of 90%
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