Assume that you are going to use sliding windows method with convolution implementation (all at once) to detect one the following objects within the images: houses, trees, people, cars. In order to deal with the overlapped images we have decided to consider four anchor boxes. Assume we use 1000 images for training purposes and we use the following net to divide the image into pieces. For each image during the training, we create an output with dimension of axbxc to be used as the target value for the output layer of the neural network. a must be b must be and c must be

Assume that you are going to use sliding windows method with convolution implementation (all at once) to detect one the following objects within the images: houses, trees, people, cars. In order to deal with the overlapped images we have decided to consider four anchor boxes. Assume we use 1000 images for training purposes and we use the following net to divide the image into pieces. For each image during the training, we create an output with dimension of axbxc to be used as the target value for the output layer of the neural network. a must be b must be and c must be

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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