RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.

Object tracking pipelines complete with RF-DETR, YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking

RF-DETR C++ tensorrt : Real-Time End-to-End Object Detection

ONNX model with inference and visualization scripts for RF-DETR

RF-DETR Object Detection with DeepSORT Tracking

RF-DETR + USLS: object detection using Rust

One‑line fine‑tuning of RF‑DETR on selected classes from OpenImages V7

FashionVeil: fashion apparel dataset with occlusion level annotations for clothes and accessories

RF-DETR wrapper for ROS 2 C++ implementation.

code for RF-DETR demo on HuggingFace Space

Master's project comparing SOTA models for object detection on a custom-built geospatial dataset. Implements YOLOv12, DFine, and RF-DETR.

RF-DETR target model for use with Autodistill.

Since have been noticed that Roboflow's RFDETRBase incorporates the drone class as an additional class, this drone detection program is presented.