Roboflow reposted this
Tutorial: Fine-tuning RF-DETR for drone detection 🔥 🔥 🔥 I’ve spent the last two weeks working on an end-to-end RF-DETR fine-tuning tutorial, and it’s finally here. You can use it to fine-tune RF-DETR on any dataset, not only drones. - Learn the COCO annotation format - Train RF-DETR in Google Colab - Adjust hyperparameters for optimal performance - Evaluate model accuracy - Save and deploy your trained model RF-DETR-N outperforms YOLO11-N by 10 mAP points on the COCO benchmark while also running faster at inference. RF-DETR is the top object detector on the RF100-VL benchmark, where RF-DETR-M beat YOLO11-M by an average of 5 mAP points across aerial datasets (drone, satellite, radar). Its mix of lightweight design, speed, and accuracy, combined with the open-source Apache 2.0 license, makes it an excellent choice for deployment on drones and other mobile devices. ⮑ 🔗 YouTube video: https://lnkd.in/dNKvYxDN Google Colab and the dataset I used are linked in the comments 👇🏻 #computervision #opensource #objectdetection #drones #transformers