Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...

Abstract: Cervical cancer, the most pervasive malignancy among women world-wide has a prolonged latent period necessitating early diagnosis with appropriate treatment for significantly increasing the ...

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.

Although millions of faithful recognize Tepeyac Hill in Mexico City as the site of the apparitions of Our Lady of Guadalupe, not many know that the miracle of the imprinting of her image did not occur ...