Abstract: Object detection and recognition systems have gained significant interest of researchers due to vast advancement in the field of computer vision technology. Although there are number of object recognition systems implemented in past researches, there still remains a constant demand for new, better and accurate recognition systems. Current detection systems make use of classifiers to perform detection. We are implementing a machine learning model which can detect objects using the concept of Convolutional neural networks (CNNs). This enables us to detect objects with very high accuracy.
Keywords: Neural Network, Opencv, YOLO, Non-Max Suppression
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DOI:
10.17148/IJARCCE.2022.116115
