YOLOv11-Detection
Real‑time object detection optimized for mobile and edge by Ultralytics.
Ultralytics YOLOv11 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Note: YOLOv11-Detection 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
Input resolution:640x640
Model checkpoint:YOLO11-N
Model size (float):10.1 MB
Model size (w8a16):3.30 MB
Model size (w8a8):2.83 MB
Number of parameters:2.64M
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
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® Dragonwing™ Q-6690
- Qualcomm® Dragonwing™ QCS6490
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ Q-7790
- Qualcomm® Dragonwing™ QCS8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
Related Models
See all models
Sample Appsfeaturing YOLOv11-Detection
See all sample apps
Looking for more? See models created by industry leaders.
Discover Model Makers