Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
A Benchmark Review of the YOLO Object Detection Algorithms
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ming-Chieh Lin | - |
| dc.date.accessioned | 2023-04-03T16:30:13Z | - |
| dc.date.available | 2023-04-03T16:30:13Z | - |
| dc.date.issued | 2021-09-24 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/183410 | - |
| dc.title | A Benchmark Review of the YOLO Object Detection Algorithms | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | The 3rd International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC 2022) | - |
| dc.citation.conferencePlace | Beijing, China | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 서울 공과대학 > 서울 전기공학전공 > 2. Conference Papers
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Lin, Ming Chieh
- COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)