Abstract: Target detection technology is crucial in various domains. However, traditional detection methods, including manual identification and computer vision (CV), face limitations when dealing ...

Intelligent image cropping tool with multiple detection methods including You Only Look Once (YOLO), DEtection TRansformer (DETR), Real-Time DEtection TRansformer (RT-DETR), Roboflow DETR (RF-DETR), ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

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 ...

As climate change alters the frequency, intensity, and co-occurrences of abiotic and biotic stresses, the effective and efficient detection of plant stress responses and resistance mechanisms is ...

1 Introduction Object detection is a challenging task in the field of computer vision, which aims to determine the location and category of each object in images or videos, forming the foundation for ...

Abstract: Rotated object detection in remote sensing images is a research hot spot in the field of computer vision. The following problems exist in the detection of rotating object in remote sensing ...

In a world characterized by rapidly shifting technology, it’s difficult to know which advancements are here for the long haul and which are fleeting. It’s even more difficult for companies to ...

The computing collection contains several schematics of the computer system X-66744, created by Samuel B. Williams and George Stibitz at Bell Telephone Laboratories in New York City. Williams and ...