YOLOv8m
The medium-scale object detection model in the YOLOv8 series released by Ultralytics in 2023. It employs an anchor-free detection head with decoupled classification and regression branches, achieving a favorable balance between inference speed and accuracy.
Timeline (last 90 days)
The study used the YOLOv8m object detection model for follicular unit localization, achieving test results of [email protected]=0.920 and recall=0.860.
YOLOv8m is the medium-scale version of the YOLOv8 series released by Ultralytics in 2023, belonging to the single-stage object detection architecture, and introduces an anchor-free detection head and decoupled classification/regression branches.
All Facts (2)
The study used the YOLOv8m object detection model for follicular unit localization, achieving test results of [email protected]=0.920 and recall=0.860.
50%UnverifiedYOLOv8m is the medium-scale version of the YOLOv8 series released by Ultralytics in 2023, belonging to the single-stage object detection architecture, and introduces an anchor-free detection head and decoupled classification/regression branches.
50%