Hand Keypoints Estimation with Ultralytics YOLO11 | Human Hand Pose Estimation Tutorial

preview_player
Показать описание
Join us in this in-depth walkthrough as we explore hand keypoints estimation and how to train a custom model using Ultralytics YOLO11 on Google Colab. We’ll guide you through the dataset, keypoint annotations, and model training, leading to impressive custom detection results.

Key Highlights:
00:00 - Introduction: Setting the stage for hand keypoints estimation.
00:49 - Hand Keypoints Estimation Dataset: Exploring the dataset for hand keypoints.
01:10 - Hand Landmarks Overview: Understanding hand landmarks.
02:14 - Dataset YAML file Overview: A detailed look at the dataset’s YAML configuration.
02:44 - Dataset Sample Images and Annotations: Sample images and annotation examples.
03:18 - Training Ultralytics YOLO11 Model on Hand Keypoints Dataset (Google Colab): Step-by-step training tutorial.
06:47 - Custom Trained Model Results Walkthrough: Reviewing the trained model’s detection results.
08:52 - Conclusion and Summary: Key takeaways and insights.

Stay updated with our latest innovations in AI and computer vision. Subscribe to our channel for tutorials, product updates, and insights from industry experts!

🔗 Key Ultralytics Resources:

🔬 Ultralytics YOLO Resources:

#Ultralytics #YOLO #ComputerVision #AI #MachineLearning #DeepLearning
Рекомендации по теме
Комментарии
Автор

Thanks for sharing this amazing tutorial

YogendraSingh-jhlz
Автор

I used yolov11n and yolov11x to train many models based on this dataset. The log accuracy of small batch and large epoch training is very good, but it is very poor during actual inference, much worse than mediaPipa, especially when rotating, the key points are very inaccurate. I am very confused about this, is there any trick to the training parameters?

topberlin
Автор

I have question, is this model just detecting the keypoints from the dataset or it is detecting the gesture?

hudaibia
Автор

You got so many warnings for corrupt images. Also didn't put wandb api. WEAK

mohammadaghili