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Implement confusion matrix in the semantic segmentation results (one-vs-the-rest approach)

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.

Habilidades: Python, Keras, Machine Learning (ML), Computer Vision

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( 0 comentários ) Rio de Janeiro, Brazil

ID do Projeto: #29455517

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jarviskb

Hello, I am an AI researcher with 3 years experience in deep learning field. My major fields are deep image processing, deep natural language processing, GAN and reinforcement learning. My experiences are image class Mais

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13 freelancers estão ofertando em média $81 nesse trabalho

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ashikmohann

hi i am a python developer and a machine learning engineer. i can create the confusion matrix and other requirements you have specified

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MohammedSulhi

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softbox06

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sodiqa32

Hi, Implement confusion matrix in the semantic segmentation results (one-vs-the-rest approach) I have read the details of the project. I have completed many simple and complex projects with Visual Studio and C++, some Mais

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ahmedm97hassan

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HelmiDaqdouqi

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MaxDrofa

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braincenter

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adelenpei

Hello, I am Adel, a PhD student in Artificial Intelligence, I have trained models on One Vs All approach, and I think I may help you easily. Just contact me for further discussion.

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iPingDataLabsLLP

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