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Analysis of Accurate Fire Accident Identification Criteria based on YOLOv5
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 신연순 | - |
| dc.date.accessioned | 2023-05-11T09:41:14Z | - |
| dc.date.available | 2023-05-11T09:41:14Z | - |
| dc.date.issued | 2022-08-17 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/11385 | - |
| dc.title | Analysis of Accurate Fire Accident Identification Criteria based on YOLOv5 | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | The 6th International Conference on Big data, IoT, and Cloud Computing (BIC 2022) | - |
| dc.citation.conferencePlace | 대한민국 | - |
| dc.citation.conferenceDate | 2022-08-16 ~ 2022-08-18 | - |
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Related Researcher
- Shin, Youn Soon
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)