Yolo-X
Real‑time object detection optimized for mobile and edge.
YoloX is a machine learning model that predicts bounding boxes and classes of objects in an image.
Technical Details
Model checkpoint:YoloX Medium
Input resolution:640x640
Number of parameters:25.3M
Model size (float):96.7 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE
Tags
- real-time
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- RB3 Gen 2 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
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