Car Model Recognition Dataset: High-Quality Images for Vehicle Classification and Identification
Description
Description: This dataset has been developed for research on car model recognition, specifically targeting minivan, SUV, and sedan car types. It contains high-resolution images capturing various models and conditions to support the development and evaluation of machine learning models in the automotive domain. The dataset is ideal for use in image classification, detection, and object recognition applications. Dataset Overview: • Contains images of cars categorized by types: Minivan, SUV, and Sedan. • Collected from real-world scenarios and social media platforms, ensuring diverse and realistic samples. • Includes images from multiple car models and varying viewpoints. Types of Cars: 1. Minivan 2. SUV 3. Sedan Key Features: • Number of Images: 1717 • Number of Augmented Images: 11265 • File Formats: PNG, JPEG Applications: • Machine Learning: Used for training models in image classification, detection, and recognition for automotive applications. • Automated Car Parking Systems: Enables intelligent vehicle detection and classification to streamline parking processes. • Automated Toll Systems: Supports real-time vehicle identification for efficient toll collection. • Transportation Technology: Facilitates systems for autonomous vehicles and real-time vehicle monitoring. • Automotive Research: Helps in understanding car design patterns and model differentiation for industry applications. Dataset Collection: • Compiled from real-world environments and social media platforms, ensuring a rich variety of images. • Includes varying lighting conditions, car positions, and angles for robust model training.