Launch: Train and Deploy RF-DETR Models with Roboflow

RF-DETR is a cutting-edge object detection model architecture developed by Roboflow, designed to perform well across various domains and capable of running efficiently on edge devices at over 100 FPS with an NVIDIA T4. Released in March 2025, the model achieves state-of-the-art performance on both the Microsoft COCO and RF100-VL benchmarks, the latter assessing domain adaptability across diverse datasets. Roboflow offers a comprehensive platform for training and deploying RF-DETR models, utilizing a custom checkpoint that enhances model accuracy compared to public options. Users can train models on their own hardware or in the cloud, and deploy them using Roboflow Workflows and Inference, tools for building and executing complex computer vision applications on the edge or in the cloud. The RF-DETR model is available under an Apache 2.0 license, and its capabilities include detecting custom objects, visualizing results, and supporting various applications such as tracking and classification.