This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...

Abstract: In this letter, we propose a rotation invariant parts-based model to detect objects with complex shape in high-resolution remote sensing images. Specifically, the geospatial objects with ...

Abstract: Deep learning has revolutionized object detection, with YOLO (You Only Look Once) leading in real-time accuracy. However, detecting moving objects in visual streams presents distinct ...

Modern anti-personnel mines are small and often made with plastic casings that standard metal detectors cannot detect.

Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into ...

The Sunseeker X7 performs excellently and has run reliably for nearly four weeks on a difficult plot, aside from a minor ...

An AI-powered device detecting Mahindra Thar SUVs in real-time has gone viral, transforming a common traffic complaint into an internet sensation. Using object detection technology, the system ...

Researchers have developed a new LiDAR approach that makes it possible to image small objects with much greater precision and ...

Researchers identified what they believe is the first documented case of a ransomware operation, JadePuffer, conducted ...

Struggling with AI hallucinations? Discover practical strategies to improve accuracy, verify outputs, and optimize your prompts to ensure your AI delivers reliable ...

Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.

Examples from Iran to Venezuela show that India needs to embrace the trinity of AI, autonomy and algorithmic warfare through ...