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| RF-DETR resources — blog posts, videos, and guides for training, deploying, and running detection and segmentation models across cloud, edge, iOS, Jetson, and Lightning workflows. |
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Resources
Use the resources below to learn how to train, build with, and deploy RF-DETR models both in the cloud and on your own hardware.
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SOTA Instance Segmentation with RF-DETR Seg (Preview) [October 2025]
Read more about the RF-DETR Segmentation architecture and how to train an RF-DETR Seg (Preview) model.
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Announcing RF-DETR Nano, Small, and Medium [July 2025]
Read more about the state-of-the-art RF-DETR Nano, Small, and Medium models we released in July 2025.
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RF-DETR: How to Train SOTA for Object Detection on a Custom Dataset [video]
Learn how to train an RF-DETR model on a custom dataset.
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How to Train RF-DETR on a Custom Dataset [article]
Learn how to train an RF-DETR model on a custom dataset.
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Deploy RF-DETR on iOS [tutorial & example application]
Read this guide to learn how to run RF-DETR models on an iPhone using the Roboflow iOS SDK.
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How to Deploy RF-DETR to an NVIDIA Jetson [article]
Learn how to deploy an RF-DETR model to an NVIDIA Jetson using Roboflow Inference.
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Deploy RF-DETR with LitServe [Lightning AI Studio]
Learn how to deploy RF-DETR as a scalable inference server using LitServe, the AI model serving framework from Lightning AI. -
Train and Deploy RF-DETR Models with Roboflow
Learn how to train RF-DETR models in the cloud with Roboflow and deploy your models on your own hardware with Roboflow Inference and Workflows.
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RF-DETR: A SOTA Real-Time Object Detection Model
Read our announcement for RF-DETR, the first real-time model to achieve 60+ mean Average Precision when benchmarked on the COCO dataset.