Datasets:
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README.md
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pretty_name: Vehicle Classification
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dataset_name: DrBimmer/vehicle-classification
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task_categories:
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- image-classification
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tags:
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- vehicle
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- car-make
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- vehicle-type
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- automotive
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- computer-vision
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- classification
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- deep-learning
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license: cc-by-nc-4.0
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annotations_creators:
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- expert-generated
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multilinguality: no
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size_categories:
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- 1K<n<10K
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source_datasets: []
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# AutoScopeAI/vehicle-classification
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## Dataset Summary
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**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).
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The dataset is part of the **AutoScopeAI project**, which aims to build intelligent automotive systems that understand and analyze vehicles from visual inputs.
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