you-only-look-once-unified-real-time-object-detection-2023-009

Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi

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you-only-look-once-unified-real-time-object-detection-2023-009

Joseph Redmon, Santosh Divvala, Ross Girshick, Ali FarhadiUFTAN UNIVERSITYElectrical and Electronics Engineering2023

Abstract

This record links to the YOLO object detection paper, which frames detection as a single regression problem over bounding boxes and class probabilities. It is useful for testing engineering project records and real-time vision metadata.

Metadata

Author: Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi
Supervisor: Dr. Henry U. Nwachukwu
Faculty: Engineering
Department: Electrical and Electronics Engineering
Document type: Final Year Project
Year: 2023
Keywords: object detection, YOLO, real time vision, computer vision, neural networks
Access: Metadata
License: all_rights_reserved

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Auto-generated from the record metadata: authors, journal title, DOI, volume, issue/serial, pages and publication date. Review before final academic use.

Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi (2026). you-only-look-once-unified-real-time-object-detection-2023-009 [Final Year Project]. UFTAN UNIVERSITY. https://inrepscholar.com/uftan-university/projects/948

Source fields used: Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi

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you-only-look-once-unified-real-time-object-detection-2023-009

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