Implement confusion matrix in the semantic segmentation results (one-vs-the-rest approach) -- 2
Orçamento $30-100 USD
I have a code that performs the segmentation of images in five classes. I have already done the training using a one-vs-the-rest (OvR) approach and implemented some standard Keras metrics, such as IoU, recall and accuracy. However, when I tried to implement the confusion matrix between all classes, the results do not match those produced by standard metrics.
I need the confusion matrix to be implemented correctly. I provide access to my code (in Google Colab), training weights, and, if necessary, the dataset.
9 freelancers estão ofertando em média $58 nesse trabalho
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HI I am experienced in Machine Learning (ML) Keras Computer Vision etc I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your reply
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Hello, I've read the details and I'm confident I can finish the job in 7 days. I have already worked on many ML projects using the Keras API, and using lot of different evaluation metrics including the confusion matri Mais
Code def func_calConfusionMatrix(predY, trueY): """ Function to return accuracy, precison and recall of both the classes """ #creating a matrix of zeroes of size 2 x 2 K = len([login to view URL](t Mais
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