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- YOLO is an object detection algorithm that uses an edged neural network to provide predictions of bounding boxes and class probabilities1. It is the best model for person detection solutions1. YOLOv5 is a notebook that can detect persons from an image and export clippings of the persons and an image with bounding boxes drawn2. Object detection is the task of detecting instances of objects of a certain class within an image2.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.YOLO proposes using an edged neural network that provides predictions of bounding boxes and class probabilities as opposed to the strategy used by object detection algorithms before it, which repurposes classifiers to do detection, which is why it is the best model for person detection solutions.www.folio3.ai/blog/best-model-for-person-detection/Detect Persons From An Image with YOLOv5 Object Detection Notebook to detect persons from a image and to export clippings of the persons and an image with bounding boxes drawn. It can detect classes other than persons as well. Object detection is the task of detecting instances of objects of a certain class within an image.news.machinelearning.sg/posts/object_detection_…
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