This project implements state-of-the-art object detection models using YOLOv8 (real-time detection) and Detectron2/Faster R-CNN (high accuracy). It demonstrates the full computer vision pipeline from dataset preparation → training → evaluation → deployment.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project implements state-of-the-art object detection models using YOLOv8 (real-time detection) and Detectron2/Faster R-CNN (high accuracy). It demonstrates the full computer vision pipeline from dataset preparation → training → evaluation → deployment.
ndontubo/Object-Detection-using-YOLOv8-Detectron2
About
This project implements state-of-the-art object detection models using YOLOv8 (real-time detection) and Detectron2/Faster R-CNN (high accuracy). It demonstrates the full computer vision pipeline from dataset preparation → training → evaluation → deployment.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published