YOLOv13 seamlessly combines hypergraph computation with end-to-end information collaboration to deliver a more accurate, robust, and efficient real-time detection solution.

Uncrewed aerial vehicle (UAV) object detection is crucial in open-water search and rescue missions. Due to varying perspectives and altitudes of UAV images, the apparent size of objects varies ...

To address this issue, we design a multi-scale high-frequency information enhancement module to enhance the high frequency features extracted by the backbone network and improve the detection effect ...

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.

Ben Hansen, host of “UFO Witness,” obtained an audio recording of a U.S. military pilot’s reported encounter with an unidentified flying object.

Official PyTorch implementation of LWSDet. [Lightweight Adaptive Feature Selection Network for Enhanced Small Object Detection in UAV Imagery] Jinxia Yu, Jie Wu, Yongli Tang Abstract To address the ...

However, researchers at jevois.org have managed to do something even more impressive with YOLO-Jevois “open-vocabulary object detection”, based on Tencent AI Lab’s YOLO-World, to add new objects in ...