Model Selection:

Participants are free to use any machine learning or deep learning model to train on the provided training data.
Transfer learning from pre-trained models is allowed.
Cross-validation:

Participants are encouraged to use cross-validation techniques to evaluate the performance of their models.
Evaluation Metric:

The competition will be evaluated based on a predefined metric (e.g., accuracy, F1 score) to measure the model's ability to correctly classify digits.