Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could ...

This study investigated an object detection technique for lung cancer using the YOLO object detection model to train and validate the model and evaluate whether it can effectively detect the types of ...

Abstract This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...

Object-Detection-using-Deep-Learning Real-time object detection using OpenCV and SSD MobileNet v3, identifying objects from the COCO dataset with confidence scores. The script captures video from a ...

Using OpenCV, this research compares the performance of deep learning with standard computer vision approaches for detecting object in photos and videos. Recognizing and localizing objects inside an ...

Automatic detection of foreign body objects in neurosurgery using a deep learning approach on intraoperative ultrasound images: From animal models to first in-human testing ...

Object detection is a crucial task in computer vision, allowing computers to identify and localize objects in images or videos. This project showcases a real-time object detection system implemented ...