Remove Calculations into the IOU and eSign it in minutes

Aug 6th, 2022
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How to Remove Calculations into the IOU

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hello and welcome to this excel tips video Im so mad pencil and in this video Im going to show you how to quickly remove the formulas from Excel but keep the data so here I have the data for these companies I have the revenue number expense and I have the net income value which is calculated by subtracting expense from revenue if you have a look at the formula it is this L minus this and thats the same case for all these now what I want to do is remove the formula but still keep the net income value and its really easy you simply select this entire data set you copy this then right click and go to paste special and here in the paste special dialog box you have the value option as soon as you click on value and click OK it is going to paste the values only and the formula would go away so now when I click OK see what happens now when I select this cell you can see that the formula bar only shows the value and not the formula because the formula has gone let me also show you another

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To define the term, in Machine Learning, IoU means Intersection over Union - a metric used to evaluate Deep Learning algorithms by estimating how well a predicted mask or bounding box matches the ground truth data.
Recall is basically the rate of recognizing the specified class (lets consider a single class problem) and Accuracy is the rate of missing the specified class (well, the opposite). IoU basically takes both measures into account, how come this IoU rate is that low compared to the above? Thank you.
Intersection over Union (IoU) is used to evaluate the performance of object detection by comparing the ground truth bounding box to the preddicted bounding box and IoU is the topic of this tutorial.
It is used for two purposes: It helps us benchmark the accuracy of our model predictions. Using it, we can figure out how well does our predicted bounding box overlap with the ground truth bounding box. The higher the IoU, the better the performance.
Intersection over Union (IoU) IoU of 1 means your predicted bounding box perfectly matches the ground truth box. IoU of 0 means no part of your predicted bounding box overlaps with the ground truth box.
Note: 0.5 IoU is typically considered a good score, while 1 is perfect in theory.
Intersection over Union calculation example Area of Overlap: 5 * 5 = 25; Area of Union: Area of the Red Bounding Box + Area of the Green Bounding Box - Area of Overlap = 10 10 + 10 10 - 25 = 175. IoU: Area of Overlap / Area of Union = 25 / 175 ~ 0.14 - poor IoU.
Simply put, the IoU is the area of overlap between the predicted segmentation and the ground truth divided by the area of union between the predicted segmentation and the ground truth, as shown on the image to the left.

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