Layout analysis custom training results are bad
vikhil0609 opened this issue · 0 comments
Subject: GitHub Message - Continued Issues Despite Training with 2500 Images
Dear GitHub Community,
I hope this message finds you well. I am reaching out with a concern regarding a machine learning project I have been working on, and I'm seeking guidance and assistance.
Project Overview:
I have been diligently training a machine learning model with a dataset of 2500 images. The goal of this project is [briefly describe the project's objectives and context, e.g., image classification, object detection, natural language processing, etc.]. However, despite my efforts, I have encountered persistent issues with the model's performance.
Challenges Faced:
Despite the substantial dataset and numerous training iterations, I am not achieving the expected or desired results. The challenges I have encountered include:
Inaccurate Predictions: The model consistently produces incorrect predictions, which suggests that it is not generalizing well to new data.
Request for Assistance:
Despite my best efforts, I have not been able to achieve the desired results, and I am at a point where I need expert advice or assistance to overcome these challenges. If anyone in the community has faced similar issues or has expertise in [mention the relevant fields, e.g., computer vision, deep learning, NLP], I would greatly appreciate any guidance, suggestions, or collaboration opportunities.
Additionally, if you require any specific code snippets, model details, or dataset information to better understand the issue, please let me know, and I will provide them promptly.
I am committed to resolving these challenges and ensuring the success of this project, and your support would be invaluable in achieving that goal.
Thank you in advance for your time and assistance. I look forward to your insights and feedback.