Abstract: A safety belt detection method, apparatus, computer device and computer readable storage medium are disclosed. The safety belt detection method includes the steps as follows. An image to be detected is obtained. The image to be detected is inputted into a detection network which includes a global dichotomous branch network and a grid classification branch network. A dichotomous result, which indicates whether a driver is wearing a safety belt and is output from the global dichotomous branch network, is obtained. A grid classification diagram, which indicates a position information of the safety belt and is output from the grid classification branch network, is obtained based on image classification. A detection result of the safety belt, indicating whether the driver is wearing the safety belt normatively, is obtained based on the dichotomous result and the grid classification diagram.

Abstract: A safety belt detection method, apparatus, computer device, and computer readable storage medium are disclosed. In the detection method, an image to be detected is obtained. The image to be detected is inputted into a detection network which includes an image classification branch network and an image segmentation branch network. A classification result, which indicates whether a driver is wearing a safety belt and is output from the image classification branch network, is obtained. A segmentation image, which indicates a position information of the safety belt and is output from the image segmentation branch network, is obtained. A detection result of the safety belt, indicating whether the driver wears the safety belt normatively, is obtained based on the classification result and the segmentation image.

Abstract: A safety belt detection method, apparatus, computer device and computer readable storage medium are disclosed. The safety belt detection method includes the steps as follows. An image to be detected is obtained. The image to be detected is inputted into a detection network which includes a global dichotomous branch network and a grid classification branch network. A dichotomous result, which indicates whether a driver is wearing a safety belt and is output from the global dichotomous branch network, is obtained. A grid classification diagram, which indicates a position information of the safety belt and is output from the grid classification branch network, is obtained based on image classification. A detection result of the safety belt, indicating whether the driver is wearing the safety belt normatively, is obtained based on the dichotomous result and the grid classification diagram.