1. A continuous capture mobile image capture device designed for resource efficiency, the mobile image capture device comprising: a network interface; a power source; an image sensor; at least one processor; and a memory that stores a plurality of deep neural networks usable to determine a desirability of a scene depicted by an image, the memory comprising at least a temporary image buffer and a non-volatile memory; wherein the plurality of deep neural networks comprise one or more of: a face detection deep neural network that detects a presence of one or more faces in the scene of each input image; a face recognition deep neural network that matches one or more faces in the scene of each input image to one or more other faces; a face attributes deep neural network that detects various facial characteristics of one or more faces in the scene of each input image; an image content deep neural network that outputs one or more semantic labels that describe the scene of each input image; and a photo quality deep neural network that outputs a photo score that describes various photographic quality characteristics of each input image; and wherein the mobile image capture device is operable to: capture a first image that depicts a scene; maintain a first copy of the first image in the temporary image buffer; input the first image into at least one of the plurality of deep neural networks; receive at least one descriptor of the desirability of the scene depicted by the first image as an output from the at least one of the plurality of deep neural networks into which the first image is input; and determine, based at least in part on the at least one descriptor of the desirability of the scene of the first image, whether to store a second copy of the first image in the non-volatile memory of the mobile image capture device or to discard the first copy of the first image without storing a second copy of the first image.