car-brand-classification

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arasgungore / car-brand-recognition

Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.

computer-vision deep-learning image-processing cnn image-classification image-recognition resnet convolutional-neural-networks convolutional-neural-network residual-networks resnet-50 cnn-classification residual-neural-network stanford-cars car-recognition image-processing-python car-classification car-brands car-brand-classification stanford-car-dataset

Updated Jan 9, 2024
Python

VidhyaGupta / Car-Brand-Classification

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python heroku flask deep-learning keras vgg classification resnet inception transfer-learning keras-tensorflow xception image-scraping split-folder car-brand-classification

Updated Nov 21, 2021
Jupyter Notebook

Yashmenaria1 / Car-Brand-Detection

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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.

cvat car-brand-classification yolov8 car-brand-detection