Try the Model

Use the widget below to experiment with RT-DETR. You can detect COCO classes such as people, vehicles, animals, household items.

Overview

RT-DETR, short for "Real-Time DEtection TRansformer", is a computer vision model developed by Peking University and Baidu. In their paper, "DETRs Beat YOLOs on Real-time Object Detection" the authors claim that RT-DETR can outperform YOLO models in object detection, both in terms of speed and accuracy. The model has been released under the Apache 2.0 license, making it a great option, especially for enterprise projects.

RT-DETR License

RT-DETR

is licensed under a

license.

Performance

Based on COCO, RT-DETR beats out YOLOv8

Deploy a RT-DETR API

You can use Roboflow Inference to deploy a

RT-DETR

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

Label Data Automatically with RT-DETR

You can automatically label a dataset using RT-DETR with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use RT-DETR to train a computer vision model.

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