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 Mobile 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
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:AGPL-3.0
Tags
- real-time
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy S26
- Samsung Galaxy S26 Ultra
- Samsung Galaxy S26+
- Samsung Galaxy Tab S8
- Snapdragon 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Snapdragon 8 Elite QRD
- Xiaomi 12
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
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