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 ...

Abstract: In this paper, we propose Deeply Supervised Object Detectors (DSOD), an object detection framework that can be trained from scratch. Recent advances in object detection heavily depend on the ...

Abstract: We present a comprehensive study on a new task named camouflaged object detection (COD), which aims to identify objects that are “seamlessly” embedded in their surroundings. The high ...

Many works have been done on salient object detection using supervised or unsupervised approaches on colour images. Recently, a few studies demonstrated that efficient salient object detection can ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

A Chinese research team has for the first time detected radio pulses from a long-term "radio-quiet" young neutron star - ...

Thomas Mulligan investigates the latest astronomical breakthrough as a mysterious new celestial traveler from beyond our ...

The protection dog specialists at DARKDYNASTYK9S document a trained dog demonstrating underwater object detection and ...

Teledyne FLIR OEM has launched Prism Ground ISR, a new software platform designed to ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Nissan’s economical, reliable and family-friendly compact sedan, Sentra, delivers what Nash, Studebaker, and later AMC built ...

Chinese spaceplane releases object into orbit, according to commercial space surveillance China’s secretive spaceplane has ...