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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...

Ultralytics Inc., a developer of computer vision models, today announced that it has raised $30 million in funding. Elephant VC led the Series A round with participation from SquareOne. Ultralytics ...

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 ...

The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...

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 ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

The race between deepfake creators and detectors has entered a new phase, with researchers from the Netherlands revealing tech that reads the human heartbeat through video analysis. While artificial ...