Structural health monitoring (SHM) and condition monitoring are crucial processes that ensure reliability and safety of ...

When you use this tool to remove background from an image, the AI instantly detects the primary subject—be it a sneaker, a ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

According to @AIatMeta, Meta has launched SAM 3, a unified AI model capable of object detection, segmentation, and tracking across both images and videos. SAM 3 introduces new features such as text ...

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 ...

Abstract: Remote sensing (RS) image processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Introduction: Due to the small size of citrus stems, their color similarity to the background, and their variable position relative to the fruit, accurately locating picking points using robots in ...

YOLOv7 is an advanced deep learning algorithm for object detection, representing an improved version of the YOLO (You Only Look Once) series. Utilizing an end-to-end training approach based on deep ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...