Yolo-v5
Real‑time object detection optimized for mobile and edge.
YoloV5 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Technical Details
Model checkpoint:YoloV5-M
Input resolution:640x640
Number of parameters:21.2M
Model size:81.1 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Tags
- real-time
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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