Help with custom Dataset for DER(Dynamically Expandable Representation)

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I have a project to make an Incremental Machine Learning method, specifically DER(Dynamically Expandable Representation), to train using a custom dataset instead.

Currently the algorithm isn't able to use the dataset due to either dataset or annotation generation problems. The algorithm runs fine when using CIFAR and imagenet datasets.

Attached is the algorithm that I have somewhat debugged for Python 3.9 and my attempt to allow the algorithm to use my dataset.

Here is the original algorithm: [login to view URL]

Here is my custom dataset: [login to view URL]

Python Machine Learning (ML) NumPy Pytorch

ID Projek: #36184225

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Valuesolutions

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tadinhkien

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datascientist90

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merinsinha

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KawlCarter

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marlinrikey

Master in Machine Learning and Python Hello, I hope you are safe and Doing well I have seen your project requirements, I am looking to discuss them further with you Hope we will meet soon to discuss further . Coming to Lagi

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omemajawaid

Hello there I'm sure I can complete this project for you flawlessly because I read your job description. I still have some inquiries. Please send a note on my chat so that we may talk about the project's budget and tim Lagi

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arbu1499

Hello there! I am excited to submit my proposal for your project to implement Incremental Machine Learning using the DER algorithm and your custom dataset. With my expertise in Python, Machine Learning (ML), Pytorch, Lagi

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vasylbetsadev

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abdulrehman194

Greetings, I want to take the initiative to train the DER on your custom dataset. I will also ensure the simple, clean solution of the DER model for your custom dataset. I am professional developer with more than 2 ye Lagi

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josephmuindenzio

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greywolf0305130

SURE CONFIDENCE

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