AutoScopeAI/vehicle-classification

Dataset Summary

AutoScopeAI/vehicle-classification is a real-world dataset for image-based vehicle classification by both type and manufacturer. It is designed for training and evaluating machine learning models that distinguish between various vehicle categories (e.g., sedan, SUV, truck) and makes (e.g., Toyota, Ford, BMW).

The dataset is part of the AutoScopeAI project, which aims to build intelligent automotive systems that understand and analyze vehicles from visual inputs.