This project implements an object detection model using Mask R-CNN to detect and classify fruits (apples, bananas, and oranges) in images. The model is trained on a custom dataset and evaluation ...

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: 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 ...

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 ...

Addressing the issue of low detection precision caused by multiple types of defects on chip surfaces that often overlap, this paper proposes an improved Mask RCNN algorithm for chip surface defect ...