Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced and deployable YOLO (You Only Look Once) model to date. Engineered from the ...
Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...
Abstract: Power line inspection utilizing unmanned aerial vehicle (UAV)-mounted vision-based measurement systems enables real-time condition monitoring and defect detection of transmission lines, ...
Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data, achieving high accuracy even when that data is incomplete or irregular.
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
The broad range of Scolytinae pests sizes and their subtle visual similarities, especially in smaller species, continue to challenge the accuracy of mainstream object detection models. To address ...
YOLO-World is still under active development! We recommend that everyone use English to communicate on issues, as this helps developers from around the world discuss, share experiences, and answer ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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