Machine Learning by Tutorials by By Audrey Tam & Matthijs Hollemans & By Matthijs Hollemans & By Chris LaPollo

Author:By Audrey Tam & Matthijs Hollemans & By Matthijs Hollemans & By Chris LaPollo
Language: eng
Format: epub
Publisher: Ray Wenderlich

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Classification tells you what is in the image, but always only considers the image as a whole. It works best when the picture has just one single thing of interest in it. If your classifier is trained to tell apart cats and dogs, and the image contains both a cat and a dog, then the answer is anyone’s guess.

An object detection model has no problem dealing with such images. The goal of object detection is to find all the objects inside an image, even if they are of different types. You can think of it as a classifier for specific image regions.

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