NexaAI / rf-detr-seg-preview-npu

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 3
30-day runs: 4
Model's Last Updated: December 01 2025
object-detection

Introduction of rf-detr-seg-preview-npu

Model Details of rf-detr-seg-preview-npu

RF-DETR-Seg-Preview-NPU

Run RF-DETR-Seg-Preview on Qualcomm NPU with nexaSDK.

Quickstart

Install nexaSDK and create a free account at sdk.nexa.ai

Activate your device with your access token:

nexa config set license '<access_token>'

Run the model locally in one line:

nexa infer NexaAI/rf-detr-seg-preview-npu
Model Description

RF-DETR-Seg-Preview is a real-time object detection and instance segmentation model developed by Roboflow, based on the Transformer architecture. It is the first real-time model to achieve over 60 AP on the COCO dataset, combining high accuracy with efficient inference performance.

The model leverages a DINOv2 visual backbone and a lightweight DETR design, providing excellent transfer learning capabilities and domain adaptability. Its end-to-end architecture eliminates the need for non-maximum suppression (NMS) and anchor boxes, simplifying the detection pipeline.

RF-DETR-Seg-Preview brings state-of-the-art detection and segmentation accuracy to real-time applications, making it ideal for edge deployment scenarios where both speed and precision are critical.

Features
  • High-Accuracy Real-Time Detection & Segmentation : Achieves 60.5 mAP on COCO dataset while maintaining real-time performance, suitable for applications requiring both speed and accuracy.

  • Domain Adaptability : Through the DINOv2 backbone network, enables cross-domain transfer learning, suitable for complex scenarios such as aerial imagery and industrial applications.

  • Dynamic Resolution Support : Supports multi-resolution training and inference, allowing precision-speed trade-offs without retraining.

  • Efficient Edge Deployment : Optimized for Qualcomm NPU, providing fast inference and low latency on edge devices with limited resources.

  • End-to-End Architecture : Eliminates the need for NMS and anchor boxes, simplifying the detection and segmentation pipeline.

  • Instance Segmentation : Provides pixel-level segmentation masks for each detected object, enabling precise object boundary identification.

Use Cases
  • Real-Time Video Analysis : Fast object detection and instance segmentation in image or video streams, suitable for autonomous driving, security monitoring, and surveillance systems.

  • Edge Device Deployment : Lightweight design enables deployment on mobile devices, embedded systems, and other edge devices with resource constraints.

  • Autonomous Systems : Detection and segmentation of pedestrians, vehicles, and other objects for autonomous navigation and robotics.

  • Custom Dataset Fine-Tuning : Supports fine-tuning on custom datasets to meet specific application requirements.

  • Production Environments : Efficient deployment in production or research environments requiring real-time performance.

Inputs and Outputs

Input:

  • Image path

Output:

  • Detection results including object classes, bounding box coordinates, and confidence scores
License

All NPU-related components of this project are licensed under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.

Commercial licensing or usage rights must be obtained through a separate agreement. For inquiries regarding commercial use, please contact [email protected]

Runs of NexaAI rf-detr-seg-preview-npu on huggingface.co

7
Total runs
0
24-hour runs
0
3-day runs
3
7-day runs
4
30-day runs

More Information About rf-detr-seg-preview-npu huggingface.co Model

More rf-detr-seg-preview-npu license Visit here:

https://choosealicense.com/licenses/cc-by-nc-4.0

rf-detr-seg-preview-npu huggingface.co

rf-detr-seg-preview-npu huggingface.co is an AI model on huggingface.co that provides rf-detr-seg-preview-npu's model effect (), which can be used instantly with this NexaAI rf-detr-seg-preview-npu model. huggingface.co supports a free trial of the rf-detr-seg-preview-npu model, and also provides paid use of the rf-detr-seg-preview-npu. Support call rf-detr-seg-preview-npu model through api, including Node.js, Python, http.

rf-detr-seg-preview-npu huggingface.co Url

https://huggingface.co/NexaAI/rf-detr-seg-preview-npu

NexaAI rf-detr-seg-preview-npu online free

rf-detr-seg-preview-npu huggingface.co is an online trial and call api platform, which integrates rf-detr-seg-preview-npu's modeling effects, including api services, and provides a free online trial of rf-detr-seg-preview-npu, you can try rf-detr-seg-preview-npu online for free by clicking the link below.

NexaAI rf-detr-seg-preview-npu online free url in huggingface.co:

https://huggingface.co/NexaAI/rf-detr-seg-preview-npu

rf-detr-seg-preview-npu install

rf-detr-seg-preview-npu is an open source model from GitHub that offers a free installation service, and any user can find rf-detr-seg-preview-npu on GitHub to install. At the same time, huggingface.co provides the effect of rf-detr-seg-preview-npu install, users can directly use rf-detr-seg-preview-npu installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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