Work

Enhancing Object Detection in Snowy Conditions: Evaluating YOLO v9 Models with Augmentation Techniques

Year: 2024

Type: conference-paper

Source: International Conference on Internet of Things: Systems, Management and Security (IOTSMS)

DOI: 10.1109/iotsms62296.2024.10710270

Authors: Hamam Mokayed, Ghada Alsayed, Felicia Lodin, Olle Hagner, Björn Backe

Institution: Luleå University of Technology

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403391304

FWCI: 2.521

Cites: 11

Cited by: 11

Related to: 10