RF-DETR Beat YOLOs on Real-time Object Detection | Fine-Tuning | Live Coding & Q&A (Mar 27th)

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on the Microsoft COCO benchmark alongside competitive performance at base sizes. It also achieves state-of-the-art performance on RF100-VL, an object detection benchmark that measures model domain adaptability to real world problems. RF-DETR is comparable speed to current real-time objection models. - ⭐ RF-DETR: https://github.com/roboflow/rf-detr - ⭐ notebooks: https://github.com/roboflow/notebooks - ⭐ supervision: https://github.com/roboflow/supervision Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐