A convolution neural network is used, to fine-tune the accuracy of classification for a given set of images. A transfer learning technique has been used in this research to quickly learn the features by recording a small number of training images. bus, car, truck, bike, horse buggy, rickshaws, and van that can help vehicle tracking systems for commercialized parking areas. In this paper we proposed an automatic surveillance and auditing system for detecting eight categories of automobiles i.e. Deep learning provides powerful tools that are able to learn semantics, and high-level deep features to address the problems that exist in traditional architectures of hand-crafted feature extraction techniques like HOG and SIFT. more In this era of automation, deep learning has a vital role in computer vision for objects detection. In this era of automation, deep learning has a vital role in computer vision for objects detectio.
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