Ultralytics YOLOv8 - AI Vision Models Tool

Overview

Ultralytics YOLOv8 is a state-of-the-art model for object detection that also provides instance segmentation and pose estimation capabilities. It offers both CLI and Python integrations and includes extensive documentation and performance metrics on its Hugging Face model page.

Key Features

• State-of-the-art object detection by Ultralytics
• Instance segmentation support
• Pose estimation capabilities
• CLI and Python integrations for training and inference
• Extensive documentation and published performance metrics

Ideal Use Cases

• Real-time object detection in images and video
• Instance segmentation for precise object masks
• Pose estimation for human motion analysis
• Integrate into ML pipelines via CLI or Python
• Evaluate and benchmark on custom datasets

Getting Started

• Visit the Ultralytics YOLOv8 model page on Hugging Face
• Review the model documentation and performance metrics
• Select pretrained weights or a desired configuration
• Follow the provided CLI or Python integration instructions
• Run inference or train the model on your dataset

Pricing

Pricing information is not disclosed on the Hugging Face model page.

Key Information

• Category: Vision Models
• Type: AI Vision Models Tool