Yolov8x PC Requirements

[Sami-Krothapalli]

Hi there was wondering if my PC is capable of using Yolob8x I have total 16 GB of Ram, Intel i5-7400 4core with an Nvidia GTX 1070. If its not compatible which model do you recomend using as a substitute

[UltralyticsAssistant]

👋 Hello @Sami-Krothapalli, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

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Upgrade

Upgrade to the latest ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8 to verify your issue is not already resolved in the latest version:

pip install -U ultralytics

Environments

YOLO may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

Please note, this is an automated response 😊. An Ultralytics engineer will follow up with you soon to provide more specific guidance on your hardware capabilities and model recommendations.

[glenn-jocher]

@Sami-Krothapalli your PC should be capable of running YOLOv8x, but for optimal performance, consider using a smaller model like YOLOv8n if you encounter any issues.