Ultralytics Debuts Ultralytics Platform: The Definitive Way to Annotate, Train, and Deploy Vision AI
Ultralytics, the company behind the YOLO family of object detection models, today introduced Ultralytics Platform, a comprehensive end-to-end vision AI platform featuring powerful SAM-powered smart ...
The GlassWorm supply-chain campaign has returned with a new, coordinated attack that targeted hundreds of packages, ...
Hackers use credentials stolen in the GlassWorm campaign to access GitHub accounts and inject malware into Python repositories.
Abstract: Traffic Salient Object Detection (TSOD) aims to segment the objects critical to driving safety by combining semantic (e.g., collision risks) and visual saliency. Unlike SOD in natural scene ...
Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
Overall mAP@0.5: 81.5% Drone Class mAP@0.5: 91.1% (High confidence in drone identification) Frameworks: PyTorch, Ultralytics, Python. The dataset used for training is ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...
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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