Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

This study addresses challenges in agricultural pest detection, such as false positives and missed detections in complex environments, by proposing an enhanced Mask-RCNN model integrated with a ...

Joe Grantham is a contributor from the UK with a degree in Classical Studies. His love for gaming is only rivaled by a deep passion for medieval history, which often seeps into his articles. With over ...

This repository contains code for Deep learning based Object Detection and Instance Segmentation using Mask RCNN in OpenCV (Python / C++) blog post. wget http ...

This is a Flask-based web application that performs object detection on images,videos using the Mask R-CNN model. Users can upload images,video and the application will detect and highlight objects in ...

Abstract: Numerous studies in the field of object detection have been conducted over the past few decades. Several effective methods have been developed. Among various object detection algorithms, ...

Abstract: Object detection aims to recognize all instances of a known class of objects in an image, such as people, vehicles, or faces. In recent times deep learning techniques was applied for ...