Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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.

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

Abstract: This research provides a novel approach in the field of object detection through the use of OpenCV and Python programming and solves the difficulties with the conventional approach, as the ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...

Introduction: Thyroid nodule segmentation in ultrasound (US) images is a valuable yet challenging task, playing a critical role in diagnosing thyroid cancer. The difficulty arises from factors such as ...

You can animate images and create dynamic videos using Google's Veo 2 AI model for free. Besides that, Runway lets you turn static images into dynamic videos using its powerful Gen-4 AI model. Finally ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Human pose estimation is a cutting-edge computer vision technology that transforms visual data into actionable insights about human movement. By utilizing advanced machine learning models like ...