This is a computer vision model fine-tuned based on Ultralytics/YOLO11, specifically designed to detect UI elements in macOS application screenshots. It is part of the Screen2AX project, dedicated to generating accessibility metadata using computer vision technology.

This project integrates Ultralytics models into ComfyUI, facilitating users to perform operations such as object detection.

Computer VisionPytorchEnglish

YOLOv8 is an efficient object detection model developed by Ultralytics, based on the YOLO (You Only Look Once) architecture, suitable for real-time object detection tasks.

Computer VisionTransformersEnglish

YOLOv5 is the world's most popular visual AI model, developed by Ultralytics, incorporating thousands of hours of R&D experience to provide efficient object detection capabilities.

YOLOv8 is the latest generation object detection model developed by Ultralytics, building on the success of previous YOLO versions with new features and improvements to further enhance performance and flexibility.

YOLOv8s is a lightweight object detection model based on Ultralytics' YOLOv8 architecture, suitable for real-time object detection tasks.

Computer VisionPytorch

YOLOv8s is a lightweight object detection model based on Ultralytics' YOLOv8 architecture, suitable for real-time object detection tasks.

Computer VisionPytorch