Yolo-NAS
Real-time object detection optimized for mobile and edge.
YoloNAS is a machine learning model that predicts bounding boxes and classes of objects in an image.
Technical Details
Model checkpoint:YoloNAS Small
Input resolution:640x640
Number of parameters:12.2M
Model size:46.6 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Tags
- real-timeA “real-time” model can typically achieve 5-60 predictions per second. This translates to latency ranging up to 200 ms per prediction.
Supported Compute Chipsets
- Snapdragon® X Elite