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YOLO26m

Model Description

YOLO26m is the medium-sized variant of the YOLO26 model family, designed to deliver higher detection accuracy while maintaining efficient real-time performance.

Compared to the smaller YOLO26n and YOLO26s models, YOLO26m offers increased model capacity, making it better suited for more complex scenes and dense object detection. It retains the end-to-end, NMS-free architecture, ensuring a streamlined and deployment-friendly inference pipeline.

YOLO26m is pretrained on the COCO dataset and is commonly used in production scenarios where accuracy is prioritized without sacrificing responsiveness.

Quickstart

  1. Install NexaSDK and create a free account at sdk.nexa.ai
  2. Activate your device with your access token:
    nexa config set license '<access_token>'
    
  3. Run the model on Qualcomm NPU in one line:
    nexa infer NexaAI/yolo26m-npu
    

Features

  • Medium model size with improved accuracy
  • End-to-end detection using NMS-free inference
  • Real-time capable on modern GPUs and high-performance systems
  • Pretrained weights available out of the box
  • Ultralytics ecosystem support for training, validation, inference, and export

Use Cases

  • High-quality real-time object detection
  • Video analytics and monitoring systems
  • Robotics and autonomous platforms
  • Industrial inspection and safety applications
  • Accuracy-focused production deployments

Inputs and Outputs

Input:

  • Images or video streams, automatically preprocessed by the Ultralytics framework

Output:

  • Bounding boxes
  • Class labels
  • Confidence scores

License

This repo is licensed under the Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0) license, which allows use, sharing, and modification only for non-commercial purposes with proper attribution. All NPU-related models, runtimes, and code in this project are protected under this non-commercial license and cannot be used in any commercial or revenue-generating applications. Commercial licensing or enterprise usage requires a separate agreement. For inquiries, please contact dev@nexa.ai

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