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did you know it you can also do feature engineering with image data the goal is to extract the most important aspects from the image this allows us to use less data and train smaller models an additional benefit is that you can be more certain about what your model is using to make predictions hi Iamp;#39;m Connor and welcome to Ado today weamp;#39;ll be discussing different methods of image feature engineering including cropping grayscaling selecting RGB channels intensity thresholds Edge detection and color filters in the era of transfer learning you may be asking whatamp;#39;s the point of all these methods so weamp;#39;ll end by discussing how relevant they are in practice if you want the python code for all these methods make sure to check out the article Linked In the description it also goes into more detail on some of the topics weamp;#39;ve discussed here also make sure to wait till the end of the video where Iamp;#39;ll explain how you can get access to my python sharp
