When and how is bounding box and cell prediction implemented in YOLO?










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I am trying to understand the YOLO intuitively but I am stuck at bounding box prediction and cell prediction. when does the YOLO divides the image into 13x13 grid and applies bounding box in the image because in Convolution layer there is no information about bounding box and grid division?










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    I am trying to understand the YOLO intuitively but I am stuck at bounding box prediction and cell prediction. when does the YOLO divides the image into 13x13 grid and applies bounding box in the image because in Convolution layer there is no information about bounding box and grid division?










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      I am trying to understand the YOLO intuitively but I am stuck at bounding box prediction and cell prediction. when does the YOLO divides the image into 13x13 grid and applies bounding box in the image because in Convolution layer there is no information about bounding box and grid division?










      share|improve this question














      I am trying to understand the YOLO intuitively but I am stuck at bounding box prediction and cell prediction. when does the YOLO divides the image into 13x13 grid and applies bounding box in the image because in Convolution layer there is no information about bounding box and grid division?







      bounding-box yolo






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      asked Nov 13 '18 at 10:07









      technotechno

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