The most comprehensive auto database (car list) for JavaScript/TypeScript. Includes 100+ car brands, 2000+ models with generations (1968-present), and 1200+ auto parts. Perfect for dealerships, e-commerce, and automotive apps.
The "Car Brand Detection" project aims to develop an efficient system for identifying car brands from images using computer vision techniques. Utilizing a labeled dataset created with CVAT and training with the YOLO v8 model, the project seeks to achieve high accuracy in recognizing various car brands in real-world scenarios.
Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
Custom dataset generation for image classification based on images downloaded from Google
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