YOLO detects objects rapidly by predicting bounding boxes in images, highlighting its advantages over CNNs and Fast CNNs.
Use the You Only Look Once (YOLO) principle to identify items. When compared to other methods for object detection, this one provides a number of benefits. By predicting the bounding boxes using convolutional networks and the class probabilities for these boxes, YOLO detects the image faster than other algorithms like Convolutional Neural Network and Fast Convolutional Neural Network, which do not look at the image completely.
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Dasi et al. (2025) studied this question.
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