How I Identify the Yoga Poses with CV in 7 steps
Last Updated on July 17, 2023 by Editorial Team
Author(s): Gencay I.
Originally published on Towards AI.
Identify Yoga Poses with Computer Vision using Deep Learning and CNNs — A Data Science Approach
Image by Author
There is no doubt that yoga has become increasingly popular over the years, with millions of people practicing it worldwide. However, with the vast number of yoga poses available, it can be challenging to identify and perform them correctly. That’s where data science, AI, Python, machine learning, and deep learning come in.
As if that is not enough; the development of computer vision technology has enabled us to automatically identify and classify images accurately. By leveraging deep learning algorithms and tools like TensorFlow, we can train a model to recognize and classify yoga poses from images and videos.
In this… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
