Image recognition with Machine Learning for Kids

welcome back in this video we're gonna learn about image based learning models and create 00:00:06

a project that will sort two types of shapes into one another that can differentiate between two 00:00:12

types of shape two types of shapes okay so first of all you have to log in and once you log in you 00:00:19

will see this is this is screen so then you can go to projects and create a new project 00:00:24

will name this project as shape sorter and the recognizing model will be images then we can 00:00:34

create as you can see our shape sorter is created we can click on this model and click on train 00:00:51

once you are on the training screen this is what you will see and in order to train you have to 00:01:00

give the model labels so we're gonna add new label and we're gonna say that this 00:01:07

label is triangle that this label is triangle and we're gonna add me another 00:01:13

label and say that this label is square okay so once you have these two labels 00:01:27

you can either add images from the internet you can add images from your 00:01:35

webcam or you can add it or you can draw images we're gonna draw images in this 00:01:42

example since this is an image of a triangle we can draw it as a triangle 00:01:47

just make sure that these images are somewhat similar to a triangle and not 00:01:51

entirely different from triangles if you make a mistake you can just reset and 00:02:01

and try and draw try to draw it again okay so we will add 10 examples like these in each of 00:02:06

these labels and try to keep our examples as consistent as possible okay okay so once you 00:02:15

have examples make sure that you have 10 examples in each at least otherwise the training model 00:02:24

won't work so once we have these 10 examples we can go back to project and learn and test the 00:02:30

model and since i have already trained this model you can just click on train new machine learning 00:02:37

model and it will automatically train this model but since i have all this model already available 00:02:44

we can just test this model by two types we can test it via images by our webcam and we can test 00:02:50

by drawing so we'll test by drawing since i don't have a webcam available so we can draw any shape 00:02:59

and test see it's recognized as a square with 86 confidence we can try a triangle 00:03:05

and let's see what happens so our as you can see that our model is working 00:03:18

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