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- The YOLO (You Only Look Once) algorithm for object detection involves the following steps:
- Divide the image into a grid of smaller squares.
- Predict the presence of objects within each grid cell.
- Refine the predictions using Non-Maximum Suppression.
- Output the final detections12.
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 Architecture
- STEP 1. Dividing the Image into Grids YOLO begins by dividing the entire image into a grid of smaller squares. ...
pareto.ai/blog/yolo-object-detectionYOLO first takes an input image: The framework then divides the input image into grids (say a 3 X 3 grid): Image classification and localization are applied on each grid. YOLO then predicts the bounding boxes and their corresponding class probabilities for objects (if any are found)www.analyticsvidhya.com/blog/2018/12/practical-g… - People also ask
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