Abstract: Object detection in remote sensing images (RSIs) plays an important role both in civil and military fields. Currently, many object detection algorithms in RSIs have shown the excellent ...

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 ...

While scouring images from the James Webb Space Telescope, astronomers spotted Capotauro, "one of the most puzzling discoveries" to date. When you purchase through links on our site, we may earn an ...

1 Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan, China 2 School of Information Engineering, Southwest University of Science and Technology, ...

Brain tumors pose a critical threat to human health, and early detection is essential for improving patient outcomes. This study presents two key enhancements to the YOLOv11 architecture aimed at ...

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...

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: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...