Yes, it still makes plenty of mistakes, but it has become part of the job for many.

This study evaluates YOLOv12 using a globally sourced traffic dataset that includes varied weather conditions, lighting scenarios, and geographic locations. The model demonstrates strong performance ...

A pandemic-era program aimed to facilitate hotel and office to affordable housing conversions. After a slow start, and numerous financing and design challenges, its first project is opening in Queens.

A hacker recently injected code into Amazon Q in order to warn users of the platform’s potential security flaws. But the outcome could have been much worse.

Object detection using visible-infrared images has become increasingly crucial for all-day applications of uncrewed aerial vehicles (UAVs). However, existing multimodal detection methods face ...

Object Detection Using OpenCV Python This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects ...

This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for zynq ...

Object Detection Using YOLOv5 This repository contains a Python script for performing object detection on images using the YOLOv5 model. The detected objects are saved to a PostgreSQL database, and ...

Individual behavior tracking of heifers by using object detection algorithm YOLOv4 Updated Sarah Jahn 1* Gabriel Schmidt 2 Lisa Bachmann 2 Robert Kammerer 3 Helen Louton 4 Anne K. Schütz 1† Timo ...