Work

Performance Evaluation of YOLO Models in Varying Conditions: A Study on Object Detection and Tracking

Year: 2024

Type: conference-paper

Source: International Conference on Computer and Applications (ICCA)

DOI: 10.1109/icca62237.2024.10927807

Authors: Ahmed S. Mekled, Slim Abdennadher, Omar M. Shehata

Institutions: Multi-Robot Systems Research Group, German University in Cairo

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408861423

FWCI: 1.052

Cites: 12

Cited by: 5

Related to: 10