Object Detection with YOLOv11: Real-Time Web Application

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

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-25
DOI
https://doi.org/10.5281/zenodo.15282568
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Object Detection with YOLOv11: Real-Time Web Application

Zenodo (CERN European Organization for Nuclear Research)
Advanced Neural Network Applications
article

Object Detection with YOLOv11: Real-Time Web Application

article en

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

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Advanced Neural Network Applications
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Object Detection with YOLOv11: Real-Time Web Application · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS