SVM for Image Classification Using Block-Based Feature Extraction
SVM for image classification using block-based feature extraction primarily focuses on determining image categories such as ancient architecture, water bodies, vegetation, etc. Implementation involves feature vector extraction through image partitioning and SVM model training for multi-class classification.