Abstract: Object detection (OD) is an essential and fundamental task in computer vision (CV) and satellite image processing. Existing deep learning methods have achieved impressive performance thanks ...

This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...

Bringing up the legend of the Honda S2000 comes with a set list of enthusiast talking points. There's the 9,000-rpm redline — a record for naturally aspirated engines that took Ferrari more than 12 ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Since August 2025, a UFO-reporting app has recorded more than 9,000 sightings of mysterious unidentified objects close to U.S. coastlines and major bodies of water, according to Marine Technology News ...

OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...

Victor Wembanyama found himself living in a real-life nightmare following his San Antonio Spurs' epic collapse against the New York Knicks in Game 4 of the NBA Finals. Not only was he the centerpiece ...

Abstract: Oriented object detection in remote sensing images is a challenging task due to objects being distributed in multiorientation. Recently, end-to-end transformer-based methods have achieved ...