README.md

---
pretty_name: Vehicle Classification
dataset_name: DrBimmer/vehicle-classification
task_categories:
  - image-classification
tags:
  - vehicle
  - car-make
  - vehicle-type
  - automotive
  - computer-vision
  - classification
  - deep-learning
license: cc-by-nc-4.0
annotations_creators:
  - expert-generated
multilinguality: no
size_categories:
  - 1K<n<10K
source_datasets: []
---

# 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.