# Small dataset optimization

PULASki is a computationally efficient biomedical image segmentation tool that accurately captures variability in expert annotations, particularly suitable for small datasets and class imbalance issues.

PULASki is a computationally efficient biomedical image segmentation generative tool that accurately captures expert annotation variability, particularly suitable for small datasets and class imbalance issues.

This model is a fine-tuned version of openai/whisper-tiny on a Marathi digit dataset, specifically designed for audio classification tasks of Marathi digits.