How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce MacFadden, UF Distinguished Professor Emeritus and retired curator of ...
This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...
Abstract: Advanced cognition can be measured from the human brain using brain–computer interfaces (BCIs). Integrating these interfaces with computer vision techniques, which possess efficient feature ...
Consider all the activities in metal fabrication that require visual inspection and counting. A person inspects a blank for distortion and edge defects and, if needed, sends it to a deburring machine ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results