Research on multi-object detection is becoming increasingly prominent in the field of object recognition because of breakthroughs in deep learning. Camera and LiDAR are sensor technologies utilized ...

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 ...

Then the image outputs of this filter will be fed into the same Faster R-CNN model that we have been using so far. The intent of this experiment is to examine how Faster R-CNN performs on ...

Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...

Foreign object detection (FOD) in railway catenary systems is crucial for ensuring operational safety and preventing catastrophic failures. However, current detection frameworks encounter two ...

DETR achieves results comparable to Faster R-CNN, an object detection model created primarily by Microsoft Research that’s earned nearly 10,000 citations since it was introduced in 2015 ...

The overall framework diagram of the proposed method. ... providing a reliable foundation for testing the performance of the NavBLIP model in object detection and localization tasks. ... The model ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.