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

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 ...

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 ...

It provides three task-specific tracks: object detection, single-object tracking, and multi-object tracking, each with dedicated datasets and leaderboards. The images, captured by drones under diverse ...

Contribute to olwin-16/Football_Object_Detection_YOLOv8 development by creating an account on GitHub ... The Objectify project is designed to develop an advanced deep learning model for analyzing ...

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.

The developed moving object detection and classification using SAR images with an ensemble model is implemented in MATLAB, and the results are verified. Moreover, the ensemble method is computed over ...