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tags:
- fastai
---

# Model card

## Model description
A crude CV model to classify retinal images. I started with a pretrained model (resnet18) and tuned it with a set of retinal images. 

## Intended uses & limitations
Limitations stem primarily from a naïve use of the training data. Imbalances exist in the number of training images associated with each condition. In the future, a weighting function could be applied.

## Training and evaluation data
About 400 retinal images were downloaded from <a href="http://cecas.clemson.edu/~ahoover/stare/">STARE</a>.

The model was tuned with 50 epochs. accuracy-multi: 91.4%; valid-loss: 26.0%; train-loss: 26.0%