Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866908367505588224 |
|---|---|
| author | Poureskandar, Rana Razzagzadeh, Shiva |
| author_facet | Poureskandar, Rana Razzagzadeh, Shiva |
| contents | This study evaluated the performance of a YOLOv8-based segmentation model for detecting and segmenting wrinkles in facial images. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_11424 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study Poureskandar, Rana Razzagzadeh, Shiva Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning This study evaluated the performance of a YOLOv8-based segmentation model for detecting and segmenting wrinkles in facial images. |
| title | Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2505.11424 |