Qualcomm® AI HubAI Hub

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.

Model RepositoryHugging FaceResearch Paper

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 Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core

Related Models

See all models
View details for the Yolo-v6 model.

Yolo-v6

Real-time object detection optimized for mobile and edge.

View details for the Yolo-v7 model.

Yolo-v7

Real-time object detection optimized for mobile and edge.

View details for the YOLOv8-Detection model.

YOLOv8-Detection

Real-time object detection optimized for mobile and edge by Ultralytics.

Looking for more? See models created by industry leaders.

Discover Model Makers