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---
title: Yolo V11 Pose Lab
emoji: 🏃♂️➡️
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.32.1
app_file: app.py
pinned: false
license: mit
short_description: Visualize human pose data, extract pose info to JSON
tags:
- mcp-server-track
- ultralytics
- yolo
- image processing
- human pose
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/657fb3cfdb7adc7f73923798/IT1G4976zAdojmCoY-lzE.jpeg
---
# Overview
This Space allows you to upload an image then the Ultralytics Yolo v11 vision model and extract human pose data in the form of annotated images or JSON data. See the help at the bottom of the app to connect to this app by MCP or code.
# Demo
Check out a demo of using this space as an MCP server here: https://www.youtube.com/watch?v=cHsdDf50shw
# Further reading
- [Pose Detection Task](https://docs.ultralytics.com/tasks/pose/)
- [OpenCV Annotations](https://learnopencv.com/annotating-images-using-opencv/)
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