Hockey activity recognition using pre-trained deep learning model

Hockey activity recognition using pre-trained deep learning model

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Activity recognition in sports is often complex task resulting from the rapid dynamic interaction within players.In this paper, pre-trained VGG-16, deep learning based hockey activity recognition model has iphone 14 price montreal been proposed.Own hockey dataset consisting of four main activity includes free hit, goal, penalty corner and long corner was constructed as there are no existing field hockey datasets available.Experimental results indicate that the pre-trained deep learning model generates comparative results on this anodized pearl price xbox challenging dataset by tweaking the hyperparameters of this pre-trained model.