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Description
Issue: Organize Dataset into Train / Test / Eval Splits
Objective
Re-structure the existing class-separated image dataset into standard
train / test / eval directory splits to enable reproducible training and evaluation.
Current State
- Images are already separated by class
- No explicit dataset split exists
Task
- Create a directory structure following:
dataset/
train/
class_1/
class_2/
...
test/
class_1/
class_2/
...
eval/
class_1/
class_2/
->This directory is supposed to be made on kaggle/colab, but do not upload dataset on github.
->Just share the code. (Try to write a reusable code using functions and classes)
Contribution details:
Implementation Notes
->This task must be done inside the participants folder in your enrolment number's folder.
->You may Implement it in a separate notebook, or Add it to a previously used notebook.
->If working on Kaggle:
Make the required changes directly in your existing Kaggle notebook.
Download the updated notebook after changes.
Upload the updated version to the repository.
->Follow the PR template as given in the previous issues.