GitHub

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
GitHub

Rock Fragmentation Curve using Mask R-CNN

Our goal is to obtain a Fragmentation Curve of blasted rock images based on a Semantic Segmentation Model supported by Mask R-CNN. Further research can be merged with geotechnical and operational ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
IEEE

Fingerprint Image Segmentation Using Machine Learning Techniques

Abstract: Sophisticated Machine Learning Techniques were used to conduct an exhaustive study of fingerprint images cutoffs. An assessment and comparisons will be done with the available approaches and ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
C&EN

Image-Based Machine Learning Using Inkjet-Printed Chemicals: Mixing Ratio Prediction and ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...
IEEE

Detecting Floodwater on Roadways from Image Data Using Mask-R-CNN

Abstract: Object detection and segmentation algorithms evolved significantly in the last decade. Simultaneous object detection and segmentation paved the way for real-time applications such as ...