Abstract: Now a days UNMANNED AERIAL VEHICLES incorporating image / video segmentation and object detection methods in them for various applications such as reconnaissance, surveillance, tracking, ...

This project implements bounding box detection and semantic segmentation on the CamVid dataset using Mask R-CNN. It includes data preprocessing, model training, and visualization tools.

Mask R-CNN for Object Detection and Segmentation This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance ...

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 ...

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 ...