Object detection with YOLOv4
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Kannala, Juho | |
dc.contributor.author | Tuhti, Olli | |
dc.contributor.department | Tietotekniikan laitos | fi |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Kannala, Juho | |
dc.date.accessioned | 2020-12-29T09:12:30Z | |
dc.date.available | 2020-12-29T09:12:30Z | |
dc.date.issued | 2020-12-18 | |
dc.format.extent | 28 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/101357 | |
dc.identifier.urn | URN:NBN:fi:aalto-2020122960188 | |
dc.language.iso | en | en |
dc.programme | Aalto Bachelor's Programme in Science and Technology | fi |
dc.programme.mcode | SCI3027 | fi |
dc.subject.keyword | object detection | en |
dc.subject.keyword | deep learning | en |
dc.subject.keyword | machine learning | en |
dc.subject.keyword | yolo | en |
dc.title | Object detection with YOLOv4 | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |