BilalAltundag / AutoTag-YOLOv8-Instance-Segmentation-with-SAM-and-DINO-ModelLinks
AutoTag-YOLOv8 is an object detection project that uses the YOLOv8 model and leverages the power of SAM and DINGO models for automatic labeling. This repository provides the code and resources needed to train the YOLOv8 model using custom datasets, and perform automatic labeling on images using the SAM and DINGO models.
☆12Updated 2 years ago
Alternatives and similar repositories for AutoTag-YOLOv8-Instance-Segmentation-with-SAM-and-DINO-Model
Users that are interested in AutoTag-YOLOv8-Instance-Segmentation-with-SAM-and-DINO-Model are comparing it to the libraries listed below
Sorting:
- A project using YoloV8 to detect License Plates☆12Updated 2 years ago
- YOLOv8 Target Model plugin for Autodistill☆44Updated 2 years ago
- image anomaly detection