Abstract: This paper presents a robust approach for object detection in aerial imagery using the YOLOv5 model. We focus on identifying critical objects such as ambulances, car crashes, police vehicles ...
Abstract: Facial expressions in disciplines including psychology, human-computer interaction, and computer vision. In this study, we introduce a unique method for detecting facial emotions utilizing ...
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 ...
The Russian hacker group Curly COMrades is abusing Microsoft Hyper-V in Windows to bypass endpoint detection and response solutions by creating a hidden Alpine Linux-based virtual machine to run ...
The World’s First Virtual Museum of Stolen Cultural Objects Wants Its Collection to Shrink, Not Grow
More than 250 looted objects are on display in UNESCO's Virtual Museum of Stolen Cultural Objects. UNESCO To raise awareness of the illicit trafficking of cultural heritage artifacts, from ...
A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
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 ...
I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.
You can't mount a cinema camera on a Formula One race car. These nimble vehicles are built to precise specs, and capturing racing footage from the driver’s point of view isn’t as simple as slapping a ...
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