Shypd.aiThe largest open index of AI toolsRF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow. It delivers state-of-the-art accuracy and latency on COCO and RF100-VL datasets, designed for fine-tuning.
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RF-DETR is a real-time transformer architecture for object detection and instance segmentation, developed by Roboflow. Built on a DINOv2 vision transformer backbone, it achieves state-of-the-art accuracy and latency trade-offs on Microsoft COCO and RF100-VL datasets. The tool supports both detection and instance segmentation through a consistent API and is designed for fine-tuning. It offers various model sizes, from Nano to 2XLarge, with some larger models requiring the `rfdetr_plus` extension. RF-DETR can be installed via pip or from source, and models can be run using the `rfdetr` package or the Inference library. Training capabilities are available in Google Colab or directly on the Roboflow platform.
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