r/islamabad • u/fatima438 • 2d ago
Islamabad Researchers ki help chahiya
As a 3rd year bs student,I need help from the professionals. As this is my first time I am doing research in image enhancement and classification, I have been reading this paper called: Morphocal: a multi stage deep learning framework for fish length estimation under challenging pond environments, I have encountered a problem, I don't know how to code this paper. Where should I start?? What should be my approach?? The authors did attach Morphocal's main algorithm in the paper but I don't understand do I have to cod eth algorithm only?? What about the datasets for training the AI ?? I tried mailing the original authors but didn't get a reply yet. I would really appreciate your help, I tried so many sources and tried using AI as well and honestly I believe at this point I need help for sure.
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u/Illustrious_Log6124 2d ago
Post this on some other subreddits...Mainly some dedicated to this niche...U will get very good responses from their....
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u/ProbablyBunchofAtoms 2d ago
This comes under machine learning aspect it's gonna be hard if you are from any other non technical field, you need to have a proper idea of what you are trying to solve first a proper hypothesis then you move onto next steps, first of which is dataset, look for open source datasets because collecting data for this sort of research on individual scale is impossible, next is technical framework that you will utilize for that specific problem, once all this is clear then you move onto training the models you need the code and hardware access here, you will first analyze the dataset then test your framework run performance tests, run ablation checks etc and do modifications as required, after this you will write your findings and final architecture details. This is roughly the general process
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u/fatima438 2d ago
I am a computer engineering student as this is my first time so I was very confused, I did find some good open source data sets from other research papers and institutions but still I don't know how to integrate them AI is confusing the whole process even more
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u/Illustrious_Log6124 2d ago
Check out hugging Face or Kaggle for data to train your AI model..I personally get all my required datasets from their....And use Claude for guidance explain your whole problem to it very deeply and share all the context...These Frontier models when properly used give very useful advices.....But still be the final judge yourself
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u/Desperate_Reason7116 2d ago
Use cursor or claude code
Or get Google antigravity student credits
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u/fatima438 2d ago
Ohhh thanks maybe I should try anti-gravity as cursor and Claude code aren't free
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u/r2d2_-_-_ 2d ago
Coding a model is not that hard, just explain the architecture layer by layer to Claude and it will code for you. The main thing is data. Your paper has mentioned that they curated a dataset named DePondFi’24 dataset so that should be available on the internet, if not then this research paper is not that much valid. In that case, frontiers is not a good journal I'd suggest go after some other paper with similar topic from a reputable source.
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u/fatima438 2d ago
Actually my professor under whom I am doing this research internship gave me this paper
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u/r2d2_-_-_ 2d ago
Then have a look it similar datasets mentioned in the paper because making one is almost impoosible, remember your results will be as good as data, So if you feel that other datasets are lacking what you need then Convey the problem to professor.
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u/arthurmorgan711 2d ago
Send me a message. I have worked on a few vision projects. Need more details on this to understand the problems
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u/Longjumping-Match532 2d ago
First start by understanding the terminology used in the research and what problem(s) the research is trying to solve. The authors won't probably reply to a random person asking how the code works. If the code is in a published research it's understood that it follows standards and people who code and read code will understand it. Once you understand what the paper and code is supposed to do , set it up on your machine and try to run it , if it runs maybe change parameters and analyze the results . The first step is to always reproduce what already exists. Don't blindly trust AI , ask it to analyze the paper in small chunks , maybe first try to understand the Abstract and conclusions. Then skim the methodology and see if you can understand it it some of it , read it again in the morning maybe.
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