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In this paper, we consider the Problem of Object counting in deep learning. It is frequently carried out in different place of industries, school and colleges, traffic places among others. Object counting is major for quantitative analyses that rely on evaluation on certain objects. In this work, we propose a deep learning to find this challenge. Unfortunately, Object counting is most commonly a manual task and can be time intensive. As a result, we manage both to increase the accuracy count and decrease the processing time. A Deep Learning based system can be used for real time applications.
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