| 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. |