To develop and evaluate the performance of deep learning algorithms for accurate car detection in various scenarios and conditions, thereby assisting in improved traffic monitoring, autonomous navigation, and enhanced safety protocols
Deep Learning (DL), a subset
of AI, has changed various spaces, one of which is the car business. In
particular, vehicle identification in pictures and recordings has seen huge
headways because of the reception of DL calculations. The primary deep
learning-based car detection methods are examined in this paper. The
convolutional brain organization (CNN) stands apart as an essential engineering
utilized for vehicle discovery undertakings. Since these networks automatically
learn feature spatial hierarchies from raw data, they are extremely effective
at recognizing intricate vehicle patterns, shapes, and textures in a variety of
environments.
Keywords: car dataset, deep learning algorithms etc...
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