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car-brands
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Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
computer-visiondeep-learningimage-processingcnnimage-classificationimage-recognitionresnetconvolutional-neural-networksconvolutional-neural-networkresidual-networksresnet-50cnn-classificationresidual-neural-networkstanford-carscar-recognitionimage-processing-pythoncar-classificationcar-brandscar-brand-classificationstanford-car-dataset
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Jan 9, 2024 - Python
In this project, we analyzed user generated content (UGC) from Edmunds to sketch consumers' perception of their car brands and the brand's competitors. We attempted to translate UGC to market structure and competitive landscape insights.
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Dec 25, 2020 - Jupyter Notebook
This is a neural network image classifier that helps to identify 10 different classes of car brands.
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Jan 3, 2021 - Jupyter Notebook
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