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Description
[Note- this is just general guideline created with help of co-pilot]
Refactor the existing vision model training code, which is currently implemented in Jupyter notebooks, into a Python project structure. The goal is to improve maintainability, modularity, and ease of integration within the Training-Batch-Selection codebase.
Tasks:
- Identify all Jupyter notebooks related to vision model training in the repository.
- Extract and refactor the code from these notebooks into Python modules and packages following standard Python project conventions (e.g., src/, tests/, setup.py, README.md).
- Ensure compatibility and integration with the existing directory/project structure.
- Document the refactored modules and update usage instructions in the README.
Benefits:
- Standardized codebase for better collaboration and scalability.
- Easier testing and deployment of vision model training workflows.
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enhancementNew feature or requestNew feature or request