How to Train YOLOv8 Pose Estimation on a Custom Dataset for Real-time Performance

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Join Rama, the co-founder 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:*

*Team Connections:*

*Thank you for watching! Stay tuned for more insightful AI tutorials from Theos AI.*
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The rigging scheme used here is not like anything we usually use in 3D animation. Do you always use this exact setup with seventeen tags?

Daniel-Six
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Buena onda Rama, felicitaciones. Lidero otra startup de IA, estamos en contacto

leonidas
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can we download the model to our local machine ? also what's the format of trained model ?

AnkitVashishtMAIE
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Plz reply me sir can we built an app for android for motion detection with python code embedded with java 🤔🤔

think
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how can i conect a local video to the model ?

SantiagobgbO
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so now I have the trained AI... What's next?

francovillalba