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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: Reliable road object detection is crucial for self-driving cars and intelligent transportation systems. However, vision-only techniques fail in low-visibility conditions such as fog, rain, ...

Abstract: In recent years, with the emergence of convolutional neural networks, object detection technology has made rapid progress. However, object detection in remote sensing images remains a ...

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

Undoubtedly, video content has become one of the main storytelling tools for market professionals, brands, content creators, ...

The Husqvarna Automower Aspire R6V combines effortless setup and consistently impressive cutting performance into a compact package that's perfect for smaller gardens. It isn't flawless, but the ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Q.ANT, the pioneer in commercial photonic computing, today demonstrated the first complex, production-relevant AI workloads on its photonic hardware. Q.ANT successfully demonstrated a diffusion model ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

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 ...

Some of these functions require an internet connection, and some of them need to be activated in the Camera menu under your ...