metadata
datasets:
- Falah/Alzheimer_MRI
base_model:
- google/vit-base-patch16-224-in21k
pipeline_tag: image-classification
tags:
- dementia
license: mit
language:
- en
library_name: transformers
This project was intended to test the limits of the ViT on a tough dementia dataset. The data used can be found on HuggingFace at: https://huggingface.co/datasets/Falah/Alzheimer_MRI. The project follows closely the following tutorials:
https://www.youtube.com/watch?v=r88L_yLJ4CE&ab_channel=code_your_own_AI https://www.youtube.com/watch?v=qU7wO02urYU&ab_channel=JamesBriggs I modify the code presented in the video and tune all parameters to optimize performance using mostly the same libraries and tools. This is a practice project for myself as I return to coding/designing ML models after dedicating time to AI/ML theory (model architectures, transfer learning)
