Abstract: In recent years, the deployment of supervised machine learning techniques for segmentation tasks has significantly increased. Nonetheless, the annotation process for extensive datasets ...
Abstract: Multiorgan segmentation in total-body positron emission tomography (PET) images is crucial for accurately locating abnormalities and assisting in the observation of corresponding metabolic ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
A futuristic AI symbol hovers effortlessly, adorned with a bright red and white Christmas hat, blending holiday cheer with cutting-edge technology. The minimalist background accentuates the playful ...
The goal of the project is to inference a deep learning semantic segmentation model on a webcam video stream in Linux in order to remove background and provide a clean video stream with a person only.
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.
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