metadata
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.