What is MobileNet?

MobileNet is a class of efficient convolutional neural networks designed for mobile and embedded vision applications. They are characterized by their small size and low latency while maintaining reasonable accuracy. MobileNets achieve this efficiency by using depthwise separable convolutions, which significantly reduce the number of parameters and computational cost compared to standard convolutions. They are commonly used for image classification, object detection, and semantic segmentation on resource-constrained devices like smartphones and embedded systems.