Scientists in China have developed a new deep learning model based on the so-called "You Only Look Once" algorithm, which requires only one forward propagation pass through the neural network to make ...

Introduction: With the continuous advancement of agricultural technology, automatic weed removal has become increasingly important for precision agriculture. However, accurate weed identification ...

The YOLO Class Labeling Tool is a comprehensive solution for creating, editing, and managing object detection datasets in YOLO format. It features an intuitive GUI, automatic detection using YOLO/ONNX ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

Abstract: Object detection in aerial remote sensing images is essential for applications such as traffic management, public security, and ecological monitoring. However, existing methods struggle to ...

A modern, comprehensive object detection system built with YOLOv8/YOLOv11, featuring a web interface, database integration, and advanced analytics. yolo-object-detection/ ├── app.py # Streamlit web ...

Abstract: Astragalus membranaceus (AM) holds significant medicinal value in clinical applications. However, the market frequently encounters phenomena where morphologically similar counterfeits are ...

If there's anything that gives a seasoned application security (AppSec) professional indigestion these days, it's the thought of AI-assisted coding layered on top of an already insecure development ...

Detection of Malicious Code (DMC) is a tool for detecting potentially malicious behavior in C/C++ codebases using static information-flow analysis. The DMC tool detects two types of malicious code: (1 ...

As an important economic crop, apples are significantly affected by disease infestations, which can lead to substantial reductions in apple yield and economic losses. To rapidly and accurately detect ...