Performance evaluation of a vegetable recognition system using caffe and chainer

Abstract

Deep neural network has a deep hierarchy that connect multiple internal layers for feature detection and recognition learning. In our previous work, we proposed a vegetable recognition system which was based on Caffe framework. In this paper, we evaluate the performance of learning accuracy and loss for vegetable category recognition system which is based on Caffe and Chainer frameworks. We evaluate the performance of recognition rate for different categories of vegetables with different pixel sizes.