YOLOv11-Pose
Real‑time pose estimation optimized for mobile and edge by Ultralytics.
Ultralytics YOLOv11‑Pose is a machine learning model that predicts human body keypoints and bounding boxes in an image.
Note: YOLOv11-Pose cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:YOLO11-N-Pose
Input resolution:640x640
Number of parameters:2.9M
Model size (float):11.1 MB
Model size (w8a8_mixed_int16):5.85 MB
Model size (w8a16):3.63 MB
Applicable Scenarios
- Injury prevention training
- Sports performance analysis
- Posture recognition
- Fitness tracking
License
Model:AGPL-3.0
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS7181
- Qualcomm® QCS7790
- Qualcomm® QCS8275
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS8750
- Qualcomm® QCS9075
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