compare/yolov7-vs-yolo26/

[giscus[bot]]

compare/yolov7-vs-yolo26/

Compare YOLOv7 and YOLO26 for object detection. Explore their architectures, performance benchmarks, and ideal use cases to choose the best model.

https://docs.ultralytics.com/compare/yolov7-vs-yolo26/

[bit-scientist]

why were the smaller yolov7 models not included in comparison tables and graphs?

[UltralyticsAssistant]

👋 Hello, thanks for opening this discussion on Ultralytics 🚀 This is an automated response to help get things moving quickly, and an Ultralytics engineer will also assist you soon.
For model comparison topics like this, we recommend starting with the Docs where you can find detailed guidance plus many Python and CLI examples.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Join the Ultralytics community where it suits you best. For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or dive into threads on our Subreddit to share knowledge with the community.

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.