: Uses Principal Components Analysis (PCA) to extract features from vehicle fronts for classification, specifically handling day and night conditions separately. Comprehensive Reviews :
: Proposes a method using YOLO and ResNet-50 to detect and classify vehicles into four size categories and eight color categories with high accuracy. vehicle*type
: Discusses a model specialized in recognizing cars, SUVs, and vans by combining multi-layer features to improve precision in complex traffic scenarios. : Uses Principal Components Analysis (PCA) to extract