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, ...

As Terminator was followed by Terminator 2, Paravision is amping up its deepfake detection product with Deepfake Detection 2.0 – what a release calls “a major evolution” in Paravision’s identity fraud ...

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...

Oriented object detection in remote sensing imagery has emerged as a critical field of study, addressing the challenge of recognising and localising objects that appear at arbitrary angles in aerial ...

After spending some time in early access, SimpliSafe’s Active Guard Outdoor Protection feature is now available to the public. Using AI technology in conjunction with its team of security experts, ...

Abstract: Few-shot detection in remote sensing images has witnessed significant advancements recently. Despite these progresses, the capacity for continuous conceptual learning still poses a ...

This project implements object detection using the SSD MobileNet V3 model, trained on the COCO dataset, capable of detecting objects in both static images and real-time video streams from a webcam.

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.