RTMDet

Real‑time object detection optimized for mobile and edge.

RTMDet is a highly efficient model for real‑time object detection,capable of predicting both the bounding boxes and classes of objects within an image.It is highly optimized for real‑time applications, making it reliable for industrial and commercial use

Model Repository Hugging Face Research Paper

Technical Details

Model checkpoint:RTMDet Medium

Input resolution:640x640

Number of parameters:27.5M

Model size:105 MB

Applicable Scenarios

Factory Automation
Robotic Navigation
Camera
Security and Surveillance

Licenses

Source Model:APACHE-2.0

Deployable Model:AI Model Hub License

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

Related Models

Yolo-v6

Real-time object detection optimized for mobile and edge.

Yolo-v7

Real-time object detection optimized for mobile and edge.

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