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Object Detection with YOLOv11: Real-Time Web Application

Year: 2025

Type: article

Abstract: Artificial Intelligence (AI) has revolutionized several industries by enabling machines to perform tasks that once required human abilities, such as visual perception and pattern recognition. Within this context, Convolutional Neural Networks (CNNs) stand out as powerful tools for image processing. CNNs operate through convolutional layers that hierarchically extract relevant features from images, making them ideal for tasks such as classification and object detection

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15282568

Authors: Rodrigues de Almeida, Warley, Alencar Ferreira, Bruno

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6911950277

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