Cricket Shot Detection using 2D CNN

Cricket is a sport that is widely popular worldwide and played at both amateur and professional levels. Due to technological advances, it is now possible to use computer vision and deep learning techniques to automatically detect and classify cricket shots from videos and images. This research study intends to develop a system for the automatic detection and classification of cricket shots from images using create a 2D CNN with multiple layers namely convolution, pooling, flattening, and full connection. This model has achieved an overall accuracy of 91.5% in detecting different types of cricket shots. The proposed model is tested on a separate test set consisting of unseen shots and obtained similar results.