Mask R CNN

Mask R-CNN is a deep learning-based instance segmentation technique that aims to precisely identify and delineate individual objects within images. Current research focuses on improving its performance and efficiency across diverse applications, including agricultural automation (e.g., leaf angle estimation, fruit detection), damage assessment (e.g., car damage, semiconductor defects), and medical imaging (e.g., brain tumor segmentation, coronary artery stenosis detection). This versatile approach is proving valuable in various fields by automating tasks that previously required significant manual effort, leading to increased efficiency and accuracy in data analysis.

Papers