Join Rama, the cofounder and CEO of Theos AI, as he guides you through the process of training YOLOv8 for pose estimation using a custom dataset. This comprehensive tutorial covers everything from signing up for Theos, creating and labeling a dataset, to training and deploying the model.

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#TheosAI #YOLOv8 #PoseEstimation #AI #MachineLearning #DataScience

Chapters:
00:00 Introduction
00:11 Signing Up on Theos AI
00:22 Library Section Overview
00:34 Choosing YOLOv8 Model
01:10 Creating the Dataset
02:02 Starting Dataset Labeling
03:01 Labeling Keypoints and Connections
06:39 Training Session Setup
09:02 Configuring Training Parameters
10:15 Model Deployment and Testing
11:58 Final Thoughts and Community Invitation

Links and Resources:
[Sign up for free at Theos AI](https://theos.ai/ref/yt:H7gwTJzVzVk/home)
[Join our Discord server](  / discord  )
✅ [Join our WhatsApp group](https://chat.whatsapp.com/CzlqpwU9rID...)
⚡ [Clone the Easy YOLOv8 repo](https://github.com/theosai/easyyolov8)
[Read our official Theos AI docs](https://docs.theos.ai/deployment#use...)
[Tutorial on building computer vision datasets](   • How Many Images Do I Need to Train a ...  )

Team Connections:
Founder and CEO: [Rama Castro](  / ramacastro  )
Founder and President: [Nicolas Cantoli](  / nicolascantoli  )

Thank you for watching! Stay tuned for more insightful AI tutorials from Theos AI.