In the evolving landscape of the modern fruit industry, deep learning-based fruit detection applications have become integral, facilitating tasks such as fruit yield prediction and automated picking.

These datasets were then used to train an anchor-free detector-based fruit detection model. Results from these experiments showed that EasyDAM_V3 could successfully translate and generate labels for ...

Overall architecture of the EasyDAM_V4 method. The overall architecture of the proposed method involves seven main parts. The source domain foreground fruit image represented by (1) and the labeled ...