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hi everyone welcome back to these python tutorials where we are focusing primarily on image processing and image analysis in the last few videos we looked at performing semantic image segmentation and image classification like when it comes to semantic image segmentation we are referring to classifying each pixel in an image to one or more classes and when it comes to image classification we are classifying the entire image to a class now when it comes to classification image classification for example an image can be part of or lets say we classify an image into a sunset another image as a landscape another image as a dog park or we can have multiple classes in those situations we used a metric called accuracy obviously im pretty sure all of you are familiar with accuracy which is basically what is the original class and what is the class that we are predicting it as and we look at for example 100 of these images and we say okay 99 of them are correctly classified so our accuracy i
