RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...
Abstract: In this paper YOLOv8 deep learning model is proposed for vehicle detection, classification, and counting for urban traffic surveillance applications on custom dataset. The model was trained ...
Abstract: Object detection is crucial in diverse autonomous systems like surveillance, autonomous driving, and driver assistance, ensuring safety by recognizing pedestrians, vehicles, traffic lights, ...
This is the official repository with PyTorch implementation of LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection. ☀️ If you find this work useful for your research, please kindly star ...