Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Vehicle Detection Using YOLOv8 on Low-Resolution Images
Saved in:
| Published in: | Indonesian Journal of Data and Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030192021798916 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Indonesian Journal of Data and Science |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:32236 |
| institution | FRELIP |
| journal_source_facet | Indonesian Journal of Data and Science |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Vehicle Detection Using YOLOv8 on Low-Resolution Images Data Mining Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Data Mining Technology & Engineering — Computing Technology & Engineering Data Mining Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Data Mining Technology & Engineering — Computing Technology & Engineering |
| title | Vehicle Detection Using YOLOv8 on Low-Resolution Images |
| title_auth | Vehicle Detection Using YOLOv8 on Low-Resolution Images |
| title_full | Vehicle Detection Using YOLOv8 on Low-Resolution Images |
| title_fullStr | Vehicle Detection Using YOLOv8 on Low-Resolution Images |
| title_full_unstemmed | Vehicle Detection Using YOLOv8 on Low-Resolution Images |
| title_short | Vehicle Detection Using YOLOv8 on Low-Resolution Images |
| title_sort | vehicle detection using yolov8 on low-resolution images |
| topic | Data Mining Technology & Engineering — Computing Technology & Engineering |
| url | https://jurnal.yoctobrain.org/index.php/ijodas/article/view/371 |