Yolo-v4
Real‑time object detection optimized for mobile and edge.
YoloV4 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Note: Yolo-v4 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 Compute chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:416x416
Model checkpoint:YoloV4 Tiny
Model size (float):23.1 MB
Model size (w8a16):6.07 MB
Number of parameters:6.06M
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:MIT
Tags
- real-time
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
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