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image-recognition

In this part, we will create a Convolutional Neural Network that is able to detect various objects in images. We will implement this Deep Learning model to recognize a cat or a dog in a set of pictures. However, this model can be reused to detect anything else and we will show how to do it – by simply changing the pictures in the input folder. For example, we will be able to train the same model on a set of brain images, to detect if they contain a tumor or not. But if we want to keep it fitted to cats and dogs, then we will literally be able to a take a picture of our cat or our dog, and our model will predict which pet we have.

image_recognition

Objection Recognition in an Image, through a Convolutional Neural Network(CNN) using python that is able to detect various objects in images with an accuracy of 84%. Implemented this Deep Learning model to recognize a cat or a dog in a set of pictures. However, this model can be used to predict any anything else other than animals. Just by reusing with a different set of pictures as an input that we want to predict. For example, for detection of Tumor.

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