CROWDSOURCING RECOGNIZED IMAGE OBJECTS IN MOBILE DEVICES THROUGH MACHINE LEARNING

The rapid progress in the deep learning field and high-performance computing, has contributed significantly to the growth of object detection in images techniques. This paper presents the development of an innovative smartphone application, which recognizes and counts objects in images that users offer. As we all know, object detection, is a complicated algorithm that consumes high-performance hardware to be executed in real time. Therefore, because of the limited computational power of smartphones, it is necessary to develop a methodology, so the process of recognizing and counting items, will be achieved effectively in terms of time and resources.