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For an object detection problem, assume you are designing a YOLO like model to do the job. Your input image size is 127x127 (RGB). We are looking for a 3x3 output grid size. The number of classes is 20 and for each cell in the grid, we are considering 2 anchors. Design the CNN network and as a designer feel free to set your network's hyper-parameters as you wish. The output of your network needs to show the final height, width, and the channel. You do not need to include post-processing (nan-max suppression) step for YOLO. In Python-

For an object detection problem, assume you are designing a YOLO like model to do the job. Your input image size is 127x127 (RGB). We are looking for a 3x3 output grid size. The number of classes is 20 and for each cell in the grid, we are considering 2 anchors. Design the CNN network and as a designer feel free to set your network's hyper-parameters as you wish. The output of your network needs to show the final height, width, and the channel. You do not need to include post-processing (nan-max suppression) step for YOLO. In Python-

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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For an object detection problem, assume you are designing a YOLO like model to do the job. Your input image size is 127x127 (RGB). We are looking for a 3x3 output grid size. The number of classes is 20 and for each cell in the grid, we are considering 2 anchors. Design the CNN network and as a designer feel free to set your network's hyper-parameters as you wish. The output of your network needs to show the final height, width, and the channel. You do not need to include post-processing (nan-max suppression) step for YOLO.

In Python-

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