I take the liberty to bother you. I want to ask you a question about image classification, but images are not images in the usual sense. The experiment is to detect different objects with the collected WiFi signals. The above figure shows the rssi and phase change curves of the WiFi signal when a bottle is placed indoors. Now I want to classify objects according to these curves. Currently, Resnet50 DenseNet201 is used but the accuracy is not high and only 80。So I would like to ask what kind of network structure is better to use deep learning to classify this kind of image?
I take the liberty to bother you. I want to ask you a question about image classification, but images are not images in the usual sense. The experiment is to detect different objects with the collected WiFi signals. The above figure shows the rssi and phase change curves of the WiFi signal when a bottle is placed indoors. Now I want to classify objects according to these curves. Currently, Resnet50 DenseNet201 is used but the accuracy is not high and only 80。So I would like to ask what kind of network structure is better to use deep learning to classify this kind of image?