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Hace 1 día · Un meme para explicar lo inexplicable. Surgido, como decíamos al principio, del mundo de Internet y sus memes, 'Yolo' es el acrónimo de la frase anglosajona "You Only Live Once", que en español ...
Hace 2 días · In applications such as self-driving cars or delivery robots, YOLO models can quickly detect and identify obstacles, pedestrians, or other vehicles. This fast detection is essential for making real-time navigation decisions to avoid collisions. A YOLO model being used on Viam to detect cars.
Hace 1 día · Key Takeaways. YOLO revolutionized real-time object detection in computer vision. The framework evolved from YOLOv1 to YOLOv10, each version improving performance. YOLO uses convolutional neural networks for efficient image processing. Recent versions like YOLOv10 focus on reducing computational costs.
Hace 4 días · This is a comprehensive review of the YOLO series of systems. Different from previous literature surveys, this review article re-examines the characteristics of the YOLO series from the latest technical point of view. At the same time, we also analyzed how the YOLO series continued to influence and promote real-time computer vision-related research and led to the subsequent development of ...
30 de jul. de 2024 · Discover SAM 2, the next generation of Meta's Segment Anything Model, supporting real-time promptable segmentation in both images and videos with state-of-the-art performance. Learn about its key features, datasets, and how to use it.
30 de jul. de 2024 · Uno de los mejores algoritmos para procesar imagenes en tiempo real se llama YOLO. YOLO viene de “You Only Look Once”, o sólo se mira una vez. Este algoritmo detecta eficientemente dentro de una rectángulo el objeto detectado.
Hace 2 días · YOLO performs object detection and classification in a single step. The present works is mainly focuses on the study and analysis of YOLO series algorithms in view of social distancing. YOLO is an object detection algorithm, introduced in 2015 [ 1 ]. The architecture of YOLO is simple, efficient, and scalable.
