Fruits and Vegetables Detection using the Improved YOLOv3

Abstract

As the global aging intensifies, it is more convenient for a robot to go for buying things like fruits and vegetables instead of elderly, and it is more human-like to select items according to a user's personal preferences such as maturity of fruits, sweetness, etc. However, Fruits and vegetables are generally displayed in a disorderly manner. Therefore, detection and recognition of fruits and vegetables is a difficult task for a robot. This paper proposes an improved YOLOv3 and also pre-training the networks to detect fruits and vegetableswe then using Bilinear-CNN to classifyfruit's maturity. The effectiveness of the proposed method is shown by experiments.