YOLO algorithm
[/ˈjoʊloʊ ˈælɡərɪðəm/]
nounpl: YOLO algorithms
algoritmo YOLO
1. A real-time object detection deep learning algorithm that predicts bounding boxes and class probabilities for objects in images in a single forward pass, making it faster than two-stage detectors
The YOLO algorithm is widely used for real-time object detection in autonomous vehicles and security systems.
O algoritmo YOLO é amplamente utilizado para detecção de objetos em tempo real em veículos autônomos e sistemas de segurança.
2. A computer vision technique that divides an image into a grid and predicts object locations and classes simultaneously, rather than in multiple stages
We implemented the YOLO algorithm to detect pedestrians in traffic camera footage.
Implementamos o algoritmo YOLO para detectar pedestres em gravações de câmeras de tráfego.
YOLO (You Only Look Once) is primarily used in technical and academic contexts in both Brazil and the USA. While the acronym remains unchanged across regions, Portuguese-speaking professionals often refer to it as 'algoritmo YOLO' or simply 'YOLO' in technical discussions. The algorithm's popularity in Brazilian universities and tech startups has made it a standard reference in computer vision education and AI development.
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